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Результаты поиска Лучшие результаты Laszlo Gyorfi. Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts). – М.: , 2012. – 250 с. Social Computing, Behavioral-Cultural Modeling and Prediction: 5th International Conference, SBP 2012, College Park, MD, USA, April 3-5, 2012, ... Applications, incl. Internet/Web, and HCI). – М.: , 2012. – 380 с. Markov Networks in Evolutionary Computation (Adaptation, Learning, and Optimization). – М.: , 2012. – 264 с. Kevin Maney. The Maverick and His Machine: Thomas Watson, Sr. and the Making of IBM. – М.: Wiley, 2003. – 416 с. Tachi Kiuchi, Bill Shireman, William K. Shireman. What We Learned in the Rainforest: Business Lessons from Nature. – М.: , 0. – 0 с. H. Kent Bowen, Kim B. Clark, Charles A. Holloway. The Perpetual Enterprise Machine: Seven Keys to Corporate Renewal Through Successful Product and Process Development. – М.: , 0. – 0 с. W. J. Rorabaugh, W.R. Rorabaugh. The Craft Apprentice: From Franklin to the Machine Age in America. – М.: , 0. – 0 с. R. Bryan, Ph.D., P.E. Stoker. Growth & Income: How to Build a Mutual Fund Money Machine. – М.: , 0. – 0 с. Rod Czlonka. Alchemy: Turning Common Stocks into Gold: How Anyone, Anywhere, Can Turn the Stock Market Into the Ultimate Cash-Flow Machine. – М.: , 0. – 0 с. Richard A. McCormack. Lean Machines: Learning From the Leaders of the Next Industrial Revolution. – М.: , 0. – 0 с. Kenneth D. Forbus, Paul J. Feltovich. Smart Machines in Education. – М.: , 0. – 0 с. Jimmy C. McKenzie, Robert J. Hughes. Office Machines: With Excel Applications, Sixth Edition. – М.: , 0. – 0 с. J.M. Binner. Applications of Artificial Intelligence in Finance and Economics, Volume 19 (Advances in Econometrics). – М.: , 2005. – 0 с. Barbara Russell Pitts, Mary Russell Sarao. Everything Inventions And Patents Book: Turn Your Crazy Ideas into Money-making Machines!. – М.: Adams Publishing Group, 2006. – 304 с. David L. Taylor. Machine Trades Blueprint Reading. – М.: , 2004. – 336 с. Data Warehousing and Knowledge Discovery: 10th International Conference, DaWak 2008 Turin, Italy, September 1-5, 2008, Proceedings (Lecture Notes in Computer Science). – М.: , 2008. – 434 с. Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft fA?r Klassifikation e.V., Albert-Ludwigs-UniversitA¤t ... Data Analysis, and Knowledge Organization). – М.: , 2008. – 720 с. Handbook of Natural Language Processing, Second Edition (Chapman & Hall/Crc Machine Learning & Pattern Recognition). – М.: , 2010. – 704 с. Ismael Arciniegas Rueda. Explaining Currency Crises: A Statistical Machine Learning Approach: Understanding why some currency crises are followed by strong recesions but others are not. – М.: , 2010. – 472 с. Christopher Duncan. How to succeed in a tough economy: Create your own money machine. – М.: , 2010. – 104 с. Nello Cristianini, John Shawe-Taylor. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. – М.: , 0. – 0 с. Tony Mitton. Cool Cars (Amazing Machines). – М.: , 2005. – 24 с. Florian Hahne, Wolfgang Huber, Robert Gentleman, Seth Falcon. Bioconductor Case Studies (Use R). – М.: , 2008. – 284 с. Alan Julian Izenman. Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics). – М.: , 2008. – 734 с. S.Y. Kung, M.W. Mak, S.H. Lin. Biometric Authentication: A Machine Learning Approach (Prentice Hall Information and System Sciences Series). – М.: , 2010. – 496 с. Learning and Inference in Computational Systems Biology (Computational Molecular Biology). – М.: , 2010. – 400 с. Advancing Computing, Communication, Control and Management (Lecture Notes in Electrical Engineering). – М.: , 2010. – 294 с. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 524 с. Advances in Machine Learning II: Dedicated to the memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 532 с. Encyclopedia of Machine Learning. – М.: , 2010. – 1020 с. Michael W. Berry, Jacob Kogan. Text Mining: Applications and Theory. – М.: Wiley-Blackwell, 2010. – 222 с. Faming Liang. Advanced Markov Chain Monte Carlo Methods. – М.: , 2010. – 376 с. Alexander Clark. Linguistic Nativism and the Poverty of the Stimulus. – М.: , 2011. – 272 с. Balas K. Natarajan. Machine Learning. – М.: , 2010. – 217 с. Y. Anzai. Pattern Recognition & Machine Learning. – М.: , 2010. – 407 с. Katharina Morik. Knowledge Acquisition and Machine Learning. – М.: , 2010. – 305 с. Ryszard S. Michalski. Machine Learning. – М.: , 2010. – 572 с. Ethem Alpaydin. Introduction to Machine Learning 2e (OISC). – М.: , 2010. – 584 с. Etham Alpaydin. Introduction to Machine Learning (OIP). – М.: , 2004. – 400 с. Cyril Goutte. Learning Machine Translation (OISC). – М.: , 2009. – 328 с. Brednan Jf Frey. Graphical Models for Machine Learning & Digital Communications. – М.: , 1998. – 220 с. Vojislav Kecman. Learning & Soft Managing – Support Vector Machines, Neural Networks & Fuzzy Logic Models. – М.: , 2001. – 576 с. Joaquin Quinone Quinonero–cande. Dataset Shift in Machine Learning. – М.: , 2009. – 248 с. Mj Kearns. The Computational Complexity of Machine Learning. – М.: , 1990. – 184 с. RS FORSYTH. Forsyth ?machine? Learning – Applications In Exper T Systems & Information Retrieval. – М.: , 1986. – 278 с. Francesco Bergadano. Inductive Logic Programming – From Machine Learning to Software Engineering. – М.: , 1996. – 256 с. Hojjat Adeli. Machine Learning. – М.: , 1994. – 212 с. Carl Edward Rasmussen. Gaussian Processes for Machine Learning. – М.: , 2006. – 272 с. J Carbonell. Machine Learning – Paradigms and Methods. – М.: , 1990. – 400 с. Pierre Baldi. Bioinformatics – The Machine Learning Approach 2e (OI) (S). – М.: , 2001. – 400 с. Pierre Baldi. Bioinformatics – The Machine Learning Approach. – М.: , 1998. – 370 с. Machine Learning. – М.: , 1997. – 0 с. Ian H. Witten, Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems). – М.: , 2005. – 560 с. Michael Michael, Hector Linares. Mastering: Virtual Machine Manager 2008 R2. – М.: Wiley Publishing, Inc, 2010. – 600 с. Paul Shipton. Dangerous Weather: The Weather Machine: Level 5. – М.: Macmillan Education, 2007. – 32 с. John Morgan. Brand Against the Machine: How to Build Your Brand, Cut Through the Marketing Noise, and Stand Out from the Competition. – М.: John Wiley and Sons, Ltd, 2012. – 222 с. В.В. Вьюгин. Математические основы машинного обучения и прогнозирования. – М.: МЦНМО, 2013. – 304 с. Sedat Ozer and Chi Hau Chen. A kernel study on Support Vector Machines. – М.: LAP Lambert Academic Publishing, 2010. – 84 с. Isis Didier Lins,Marcio das Chagas Moura and Enrique Lopez Droguett. Support Vector Machines and Particle Swarm Optimization. – М.: LAP Lambert Academic Publishing, 2010. – 92 с. Daniele Barchiesi. Dictionary Learning with Applications to Audio Signals. – М.: Scholars Press, 2014. – 196 с. Mrutyunjaya Sahu. Prediction of Flow and its Resistance in Compound Open Channels. – М.: LAP Lambert Academic Publishing, 2012. – 108 с. Jianbo Yang. Feature selection and model selection in supervised learning. – М.: LAP Lambert Academic Publishing, 2015. – 160 с. Zdenek Vyoral. Using support vector machines in fuzzy classification. – М.: LAP Lambert Academic Publishing, 2015. – 56 с. Yasser Hassan. Emergent Rough Set Systems. – М.: LAP Lambert Academic Publishing, 2011. – 204 с. Yojna Arora. Application of data mining in education. – М.: LAP Lambert Academic Publishing, 2014. – 64 с. Ved Prakash Agnihotri. Artificial Intelligence-New Approach to Character Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 80 с. Xuewei Qi. Swarm Intelligence Inspired Engineering Optimization. – М.: LAP Lambert Academic Publishing, 2014. – 140 с. Atul Rai. An Empirical Study of Periodic noise filtering in Fourier domain. – М.: LAP Lambert Academic Publishing, 2013. – 84 с. Shruti Gujral. Text Dependent Speaker Recognition: A Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2013. – 72 с. Fasil Alemeye. Automatic Amharic news text classification with C# and Python. – М.: LAP Lambert Academic Publishing, 2013. – 60 с. Gragn Kedir and Sebsibe Hailemariam. Qebena-English Bilingual Dictionary: Using Machine Translation. – М.: LAP Lambert Academic Publishing, 2014. – 100 с. Asharaf S. Efficient Kernel Methods For Large Scale Classification. – М.: LAP Lambert Academic Publishing, 2011. – 132 с. Wasantha Samarathunga. Computational Models of Emotion Using Graphical Parameters of Pictures. – М.: LAP Lambert Academic Publishing, 2013. – 164 с. Asmatullah Chaudhry. Image Processing using Punctual Kriging and Machine Learning. – М.: LAP Lambert Academic Publishing, 2009. – 116 с. Gregg Buskey. Helicopter Automation: Learning from Human Demonstration. – М.: LAP Lambert Academic Publishing, 2011. – 256 с. Jianwu Xu. Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space. – М.: LAP Lambert Academic Publishing, 2010. – 164 с. Kuldeep Singh and Sunil Agrawal. Internet Traffic Classification. – М.: LAP Lambert Academic Publishing, 2011. – 100 с. Jian Qu. Diagnostics and Prognostics. – М.: LAP Lambert Academic Publishing, 2011. – 164 с. Zohra Saidane. Image and video text recognition using convolutional neural networks. – М.: LAP Lambert Academic Publishing, 2011. – 156 с. Jurgen Leitner. Robot Cooperation in Space. – М.: LAP Lambert Academic Publishing, 2010. – 140 с. Prof Magid Maatallah. Statistical Methodology. – М.: LAP Lambert Academic Publishing, 2011. – 128 с. P. Chitti Babu,S. Ramakrishna and K.C.K. Bharathi. Machine Learning Methods in Identification of Encryption Methods. – М.: LAP Lambert Academic Publishing, 2013. – 120 с. Mohammad H. Alomari,Rami S. Qahwaji and Stanley S. Ipson. Applied Machine Learning for Solar Data Processing. – М.: LAP Lambert Academic Publishing, 2011. – 152 с. Tufan Colak and Rami Qahwaji. AUTOMATED PREDICTION OF SOLAR FLARES. – М.: LAP Lambert Academic Publishing, 2010. – 128 с. Muhammad Tariq Mahmood. Three-Dimensional Shape Recovery from Image Focus. – М.: LAP Lambert Academic Publishing, 2012. – 120 с. Vadim Rukavitsyn. Ecosystem Condition Modeling Using Machine Learning Tools. – М.: LAP Lambert Academic Publishing, 2015. – 132 с. Setu Kar. Comparing Prediction Accuracy For Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 124 с. Guy Lebanon. Riemannian Geometry and Statistical Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 140 с. Guzman Santafe. Advances in Supervised and Unsupervised Learning of Bayesian Networks. – М.: LAP Lambert Academic Publishing, 2010. – 224 с. Nataliia Semenenko. Diagnosis of Cross-Browser Compatibility Issues via Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 68 с. Aneta Trajanov. Machine learning in agroecology. – М.: LAP Lambert Academic Publishing, 2011. – 140 с. Sharad Shandilya. Machine Learning and Non-Linear Dynamics to the Rescue. – М.: Scholars' Press, 2013. – 88 с. Sureyya Ozogur Akyuz. Infinite Kernel Learning by Semi-infinte Optimization. – М.: LAP Lambert Academic Publishing, 2011. – 172 с. Mark Rossman. Automated Detection of Hematological Patterns Through Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 128 с. Anand Kumar M. Tamil Linguistic Tools and English-Tamil Machine Translation System. – М.: LAP Lambert Academic Publishing, 2014. – 300 с. Glenn Wilkinson. Identification of Hostile TCP Traffic using Support Vector Machines. – М.: LAP Lambert Academic Publishing, 2010. – 80 с. Siva S. Sivatha Sindhu,S. Geetha and S. Selvakumar. Network Intrusion Detection System using Machine Learning Techniques. – М.: LAP Lambert Academic Publishing, 2013. – 80 с. Soumyajit Dey and Anupam Basu. Embedded Architectures for Speech and Machine Learning. – М.: LAP Lambert Academic Publishing, 2010. – 128 с. Haiqin Yang,Irwin King and Michael R. Lyu. Sparse Learning Under Regularization Framework. – М.: LAP Lambert Academic Publishing, 2011. – 152 с. Fan Liu. A New Modeling for Knowledge Transfer in Machine Learning. – М.: LAP Lambert Academic Publishing, 2011. – 88 с. Tanzila Saba and Amjad Rehman. Machine Learning and Script Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 168 с. Zenglin Xu,Irwin King and Michael R. Lyu. More Than Semi-supervised Learning. – М.: LAP Lambert Academic Publishing, 2010. – 132 с. Noormadinah Allias,Megat Norulazmi Megat Mohamed Noor and Mohd. Nazri Ismail. Email Filtering Based On Swarm Intelligence via Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 196 с. Mehmet ACI. DEVELOPMENT OF TWO HYBRID CLASSIFICATION METHODS FOR MACHINE LEARNING. – М.: LAP Lambert Academic Publishing, 2011. – 48 с. Arpana Rawal,H. R. Sharma and Mahoj Kumar Kowar. Machine Learning for Text Document Relevance Ranking. – М.: LAP Lambert Academic Publishing, 2014. – 180 с. Kunwar Babar Ali. Quality Prediction using Machine Learning Technique(MLT). – М.: LAP Lambert Academic Publishing, 2012. – 76 с. Faicel Chamroukhi. Probabilistic Learning From Longitudinal Data. – М.: LAP Lambert Academic Publishing, 2011. – 252 с. Sanjay Gharde. Support Vector Machine for Handwritten Numeral Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 108 с. Peng Wang,Gopi Deshpande and Bogdan Wilamowski. Machine Learning Approaches for Disease State Classification. – М.: LAP Lambert Academic Publishing, 2013. – 60 с. Jyotsana Pandey,Swinder Jeet Singh Kalra and Alka Dubey. AI With Bioinformatics Via The Machine Learning Approaches. – М.: LAP Lambert Academic Publishing, 2013. – 96 с. Thanh-Quang Chu. Agent-based models and machine learning in decision support systems. – М.: LAP Lambert Academic Publishing, 2015. – 208 с. Leonardo Rigutini. Automatic Text Processing: Machine Learning Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 148 с. Kshitij Dhoble. Active Learning for Image Recognition and Retrieval. – М.: LAP Lambert Academic Publishing, 2011. – 128 с. Rajnish Kumar,Anju Sharma and Pritish Kumar Varadwaj. Machine Learning and Biological Data. – М.: LAP Lambert Academic Publishing, 2011. – 64 с. Sheetal Dabra and Sunil Agrawal. Identification of Handwritten Characters using Machine Learning. – М.: LAP Lambert Academic Publishing, 2013. – 84 с. Ying Cui. High Dimensional Clustering and Applications of Learning Methods. – М.: LAP Lambert Academic Publishing, 2009. – 160 с. Federico Divina. Genetic Relational Search for Inductive Concept Learning. – М.: LAP Lambert Academic Publishing, 2010. – 192 с. Ismael Arciniegas Rueda. Explaining Currency Crises: A Statistical Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2010. – 472 с. Victor Boyarshinov. Machine Learning In Computational Finance. – М.: LAP Lambert Academic Publishing, 2012. – 88 с. Saul Kornik. Machine Learning for Corporate Failure Prediction. – М.: LAP Lambert Academic Publishing, 2012. – 364 с. Kevin P. Murphy. Machine Learning: A Probabilistic Perspective. – М.: The MIT Press, 2012. – 1104 с. Jason Bell. Machine Learning: Hands??“On for Developers and Technical Professionals. – М.: , 2014. – с. Deep Learning. – М.: , . – с. Дополнительные результаты Laszlo Gyorfi. Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts). – М.: , 2012. – 250 с. Social Computing, Behavioral-Cultural Modeling and Prediction: 5th International Conference, SBP 2012, College Park, MD, USA, April 3-5, 2012, ... Applications, incl. Internet/Web, and HCI). – М.: , 2012. – 380 с. Markov Networks in Evolutionary Computation (Adaptation, Learning, and Optimization). – М.: , 2012. – 264 с. Richard A. McCormack. Lean Machines: Learning From the Leaders of the Next Industrial Revolution. – М.: , 0. – 0 с. J.M. Binner. Applications of Artificial Intelligence in Finance and Economics, Volume 19 (Advances in Econometrics). – М.: , 2005. – 0 с. Data Warehousing and Knowledge Discovery: 10th International Conference, DaWak 2008 Turin, Italy, September 1-5, 2008, Proceedings (Lecture Notes in Computer Science). – М.: , 2008. – 434 с. Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft fA?r Klassifikation e.V., Albert-Ludwigs-UniversitA¤t ... Data Analysis, and Knowledge Organization). – М.: , 2008. – 720 с. Handbook of Natural Language Processing, Second Edition (Chapman & Hall/Crc Machine Learning & Pattern Recognition). – М.: , 2010. – 704 с. Ismael Arciniegas Rueda. Explaining Currency Crises: A Statistical Machine Learning Approach: Understanding why some currency crises are followed by strong recesions but others are not. – М.: , 2010. – 472 с. Florian Hahne, Wolfgang Huber, Robert Gentleman, Seth Falcon. Bioconductor Case Studies (Use R). – М.: , 2008. – 284 с. Alan Julian Izenman. Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics). – М.: , 2008. – 734 с. S.Y. Kung, M.W. Mak, S.H. Lin. Biometric Authentication: A Machine Learning Approach (Prentice Hall Information and System Sciences Series). – М.: , 2010. – 496 с. Learning and Inference in Computational Systems Biology (Computational Molecular Biology). – М.: , 2010. – 400 с. Advancing Computing, Communication, Control and Management (Lecture Notes in Electrical Engineering). – М.: , 2010. – 294 с. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 524 с. Advances in Machine Learning II: Dedicated to the memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 532 с. Encyclopedia of Machine Learning. – М.: , 2010. – 1020 с. Michael W. Berry, Jacob Kogan. Text Mining: Applications and Theory. – М.: Wiley-Blackwell, 2010. – 222 с. Faming Liang. Advanced Markov Chain Monte Carlo Methods. – М.: , 2010. – 376 с. Alexander Clark. Linguistic Nativism and the Poverty of the Stimulus. – М.: , 2011. – 272 с. Balas K. Natarajan. Machine Learning. – М.: , 2010. – 217 с. Y. Anzai. Pattern Recognition & Machine Learning. – М.: , 2010. – 407 с. Katharina Morik. Knowledge Acquisition and Machine Learning. – М.: , 2010. – 305 с. Ryszard S. Michalski. Machine Learning. – М.: , 2010. – 572 с. Ethem Alpaydin. Introduction to Machine Learning 2e (OISC). – М.: , 2010. – 584 с. Etham Alpaydin. Introduction to Machine Learning (OIP). – М.: , 2004. – 400 с. Brednan Jf Frey. Graphical Models for Machine Learning & Digital Communications. – М.: , 1998. – 220 с. Joaquin Quinone Quinonero–cande. Dataset Shift in Machine Learning. – М.: , 2009. – 248 с. Mj Kearns. The Computational Complexity of Machine Learning. – М.: , 1990. – 184 с. RS FORSYTH. Forsyth ?machine? Learning – Applications In Exper T Systems & Information Retrieval. – М.: , 1986. – 278 с. Francesco Bergadano. Inductive Logic Programming – From Machine Learning to Software Engineering. – М.: , 1996. – 256 с. Hojjat Adeli. Machine Learning. – М.: , 1994. – 212 с. Carl Edward Rasmussen. Gaussian Processes for Machine Learning. – М.: , 2006. – 272 с. J Carbonell. Machine Learning – Paradigms and Methods. – М.: , 1990. – 400 с. Pierre Baldi. Bioinformatics – The Machine Learning Approach 2e (OI) (S). – М.: , 2001. – 400 с. Pierre Baldi. Bioinformatics – The Machine Learning Approach. – М.: , 1998. – 370 с. Machine Learning. – М.: , 1997. – 0 с. Ian H. Witten, Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems). – М.: , 2005. – 560 с. В.В. Вьюгин. Математические основы машинного обучения и прогнозирования. – М.: МЦНМО, 2013. – 304 с. Daniele Barchiesi. Dictionary Learning with Applications to Audio Signals. – М.: Scholars Press, 2014. – 196 с. Mrutyunjaya Sahu. Prediction of Flow and its Resistance in Compound Open Channels. – М.: LAP Lambert Academic Publishing, 2012. – 108 с. Jianbo Yang. Feature selection and model selection in supervised learning. – М.: LAP Lambert Academic Publishing, 2015. – 160 с. Yasser Hassan. Emergent Rough Set Systems. – М.: LAP Lambert Academic Publishing, 2011. – 204 с. Yojna Arora. Application of data mining in education. – М.: LAP Lambert Academic Publishing, 2014. – 64 с. Ved Prakash Agnihotri. Artificial Intelligence-New Approach to Character Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 80 с. Xuewei Qi. Swarm Intelligence Inspired Engineering Optimization. – М.: LAP Lambert Academic Publishing, 2014. – 140 с. Atul Rai. An Empirical Study of Periodic noise filtering in Fourier domain. – М.: LAP Lambert Academic Publishing, 2013. – 84 с. Shruti Gujral. Text Dependent Speaker Recognition: A Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2013. – 72 с. Fasil Alemeye. Automatic Amharic news text classification with C# and Python. – М.: LAP Lambert Academic Publishing, 2013. – 60 с. Asharaf S. Efficient Kernel Methods For Large Scale Classification. – М.: LAP Lambert Academic Publishing, 2011. – 132 с. Wasantha Samarathunga. Computational Models of Emotion Using Graphical Parameters of Pictures. – М.: LAP Lambert Academic Publishing, 2013. – 164 с. Asmatullah Chaudhry. Image Processing using Punctual Kriging and Machine Learning. – М.: LAP Lambert Academic Publishing, 2009. – 116 с. Gregg Buskey. Helicopter Automation: Learning from Human Demonstration. – М.: LAP Lambert Academic Publishing, 2011. – 256 с. Jianwu Xu. Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space. – М.: LAP Lambert Academic Publishing, 2010. – 164 с. Kuldeep Singh and Sunil Agrawal. Internet Traffic Classification. – М.: LAP Lambert Academic Publishing, 2011. – 100 с. Jian Qu. Diagnostics and Prognostics. – М.: LAP Lambert Academic Publishing, 2011. – 164 с. Zohra Saidane. Image and video text recognition using convolutional neural networks. – М.: LAP Lambert Academic Publishing, 2011. – 156 с. Jurgen Leitner. Robot Cooperation in Space. – М.: LAP Lambert Academic Publishing, 2010. – 140 с. Prof Magid Maatallah. Statistical Methodology. – М.: LAP Lambert Academic Publishing, 2011. – 128 с. P. Chitti Babu,S. Ramakrishna and K.C.K. Bharathi. Machine Learning Methods in Identification of Encryption Methods. – М.: LAP Lambert Academic Publishing, 2013. – 120 с. Mohammad H. Alomari,Rami S. Qahwaji and Stanley S. Ipson. Applied Machine Learning for Solar Data Processing. – М.: LAP Lambert Academic Publishing, 2011. – 152 с. Tufan Colak and Rami Qahwaji. AUTOMATED PREDICTION OF SOLAR FLARES. – М.: LAP Lambert Academic Publishing, 2010. – 128 с. Muhammad Tariq Mahmood. Three-Dimensional Shape Recovery from Image Focus. – М.: LAP Lambert Academic Publishing, 2012. – 120 с. Vadim Rukavitsyn. Ecosystem Condition Modeling Using Machine Learning Tools. – М.: LAP Lambert Academic Publishing, 2015. – 132 с. Setu Kar. Comparing Prediction Accuracy For Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 124 с. Kamal Rawal and Ram Ramaswamy. Identification and Characterization of Complex Biological Signals. – М.: LAP Lambert Academic Publishing, 2011. – 156 с. Priyank Shukla. Bonded or Free?. – М.: LAP Lambert Academic Publishing, 2012. – 124 с. Shalinee Tiwari. Healthy or Diseased?. – М.: LAP Lambert Academic Publishing, 2012. – 116 с. Omar W. Ahmed (Ed.). Enhanced Prediction of Solar Flares. – М.: LAP Lambert Academic Publishing, 2011. – 120 с. Guy Lebanon. Riemannian Geometry and Statistical Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 140 с. Akhilesh K. Sharma,Avinash Panwar and Santosh Vishwakarma. An Introduction to Music Information Retrieval and Signaling schemes. – М.: LAP Lambert Academic Publishing, 2014. – 108 с. Jose Antonio Fernandes Salvador. Supervised classification in marine science and fisheries management. – М.: LAP Lambert Academic Publishing, 2013. – 132 с. Guzman Santafe. Advances in Supervised and Unsupervised Learning of Bayesian Networks. – М.: LAP Lambert Academic Publishing, 2010. – 224 с. Robert Andrawis. Advanced Forecasting Techniques with Application to NN5 Time Series. – М.: LAP Lambert Academic Publishing, 2012. – 132 с. Nataliia Semenenko. Diagnosis of Cross-Browser Compatibility Issues via Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 68 с. Samaher Hussein Ali. A New Trend of Knowledge Discovery Toward Intelligent Data Analysis. – М.: LAP Lambert Academic Publishing, 2013. – 304 с. Aneta Trajanov. Machine learning in agroecology. – М.: LAP Lambert Academic Publishing, 2011. – 140 с. Andrei Osipov. A Randomized Approximate Nearest Neighbors Algorithm. – М.: LAP Lambert Academic Publishing, 2012. – 136 с. Samina Ashraf and Tabasam Rashid. FUZZY SIMILARITY MEASURES. – М.: LAP Lambert Academic Publishing, 2010. – 84 с. Sharad Shandilya. Machine Learning and Non-Linear Dynamics to the Rescue. – М.: Scholars' Press, 2013. – 88 с. Sureyya Ozogur Akyuz. Infinite Kernel Learning by Semi-infinte Optimization. – М.: LAP Lambert Academic Publishing, 2011. – 172 с. Zahra Beheshti and Siti Mariyam Shamsuddin. Centripetal Accelerated Particle Swarm Optimization And Applications. – М.: Scholars' Press, 2014. – 196 с. Mollie Poynton. Classification of Smoking Cessation Status. – М.: LAP Lambert Academic Publishing, 2010. – 144 с. Ahsan Bin Tufail. Assessment of Alzheimer's Disease through sMRI Phase Images. – М.: LAP Lambert Academic Publishing, 2014. – 80 с. Patricia Alafaireet. Developing a Model of Psychiatric Visit Non-Adherence. – М.: LAP Lambert Academic Publishing, 2010. – 252 с. Raja Alomari and Vipin Chaudhary. Automated Lumbar Spine Diagnosis. – М.: LAP Lambert Academic Publishing, 2010. – 132 с. Mark Rossman. Automated Detection of Hematological Patterns Through Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 128 с. Elga Laura Strafella. Collocations in Contemporary Japanese. – М.: LAP Lambert Academic Publishing, 2013. – 196 с. Anand Kumar M. Tamil Linguistic Tools and English-Tamil Machine Translation System. – М.: LAP Lambert Academic Publishing, 2014. – 300 с. Ibrahim Mohamed Hassan Saleh. AUTOMATIC EXTRACTION OF LEMMA-BASED BILINGUAL DICTIONARIES. – М.: LAP Lambert Academic Publishing, 2010. – 72 с. Koushal Kumar. Rules Extraction From Trained Neural Networks Using Decision Trees. – М.: LAP Lambert Academic Publishing, 2012. – 64 с. Nor Azuana Ramli. Designing Early Warning System. – М.: LAP Lambert Academic Publishing, 2013. – 60 с. Sareewan Dendamrongvit. Induction in Hierarchical Multi-label Domains. – М.: LAP Lambert Academic Publishing, 2011. – 220 с. Farhana Shahid and Ubaid Ur Rahman. Detection Of Heart Disease Using Decision Tree Technique. – М.: LAP Lambert Academic Publishing, 2014. – 64 с. Ritu Vijay. Time Series Analysis using Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 60 с. Zulkefli Mansor. Cost Estimation for Web-Based Application. – М.: LAP Lambert Academic Publishing, 2012. – 104 с. Sanping Li. Towards Ultra-High Speed Online Network Traffic Classification. – М.: LAP Lambert Academic Publishing, 2013. – 200 с. Gulshan Kumar. Effective Intrusion Detection using Feature Selection. – М.: LAP Lambert Academic Publishing, 2014. – 92 с. Glenn Wilkinson. Identification of Hostile TCP Traffic using Support Vector Machines. – М.: LAP Lambert Academic Publishing, 2010. – 80 с. Debashis Chakraborty,Sandipan Bera and Sutirtha Ghosh. Data Compression – Exploring New Techniques. – М.: LAP Lambert Academic Publishing, 2012. – 72 с. Siva S. Sivatha Sindhu,S. Geetha and S. Selvakumar. 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Лина Наталия, огромное спасибо за консультацию!!! Все замечательно!
