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  1. Vadim Rukavitsyn. Ecosystem Condition Modeling Using Machine Learning Tools. – М.: LAP Lambert Academic Publishing, 2015. – 132 с.

Дополнительные результаты

  1. Laszlo Gyorfi. Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts). – М.: , 2012. – 250 с.
  2. Frank Schonthaler, Gottfried Vossen, Andreas Oberweis, Thomas Karle. Business Processes for Business Communities: Modeling Languages, Methods, Tools. – М.: , 2012. – 201 с.
  3. Jim Newell. Using Online Marketing Tools...To Market Your Offline Business: 4 Essential Tools To Help You Find New Customers and Retain Your Existing One's Longer. – М.: , 2012. – 100 с.
  4. Chandra Kant Dhakal. Basic Mathematical Economics: Use of Mathematical Tools in Economic Analysis. – М.: , 2012. – 132 с.
  5. Markov Networks in Evolutionary Computation (Adaptation, Learning, and Optimization). – М.: , 2012. – 264 с.
  6. KimMarie McGoldrick, Andrea L. Ziegert. Putting the Invisible Hand to Work : Concepts and Models for Service Learning in Economics. – М.: , 0. – 0 с.
  7. Thomas Brenner. Computational Techniques for Modelling Learning in Economics (Advances in Computational Economics, V. 11). – М.: , 0. – 0 с.
  8. Systems Thinker Newsletter. Making It Happen: Stories from Inside the New Workplace. – М.: , 0. – 0 с.
  9. Stephen E Lucas. The Art of Public Speaking, Media Enhanced Edition with Learning Tool Suite. – М.: , 0. – 0 с.
  10. Wayne L. Winston, Wayne Winston. Financial Models Using Simulation and Optimization II: Investment. – М.: , 0. – 0 с.
  11. Erdener, Phd Kaynak, John R., Jr, Phd Schermerhorn. Teaching and Program Variations in International Business. – М.: , 0. – 0 с.
  12. Richard A. McCormack. Lean Machines: Learning From the Leaders of the Next Industrial Revolution. – М.: , 0. – 0 с.
  13. Performance Through Learning : Knowledge Management in Practice (Improving Human Performance). – М.: , 0. – 0 с.
  14. Linda M. Herkenhoff. National Remuneration (Pay) Preferences: Cultural Analysis Within the Hofstede Model Using Cultural Values to Untangle the Web of Global Pay. – М.: , 0. – 0 с.
  15. William Horton. Using E-Learning. – М.: , 0. – 0 с.
  16. Dan Yaman, Missy Covington. I'll Take Learning for 500: Using Game Shows to Engage, Motivate, and Train (Pfeiffer Essential Resources for Training and HR Professionals (Paperback)). – М.: , 2006. – 272 с.
  17. 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.
  18. 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.
  19. Florian Hahne, Wolfgang Huber, Robert Gentleman, Seth Falcon. Bioconductor Case Studies (Use R). – М.: , 2008. – 284 с.
  20. Graham T. Smith. Cutting Tool Technology: Industrial Handbook. – М.: , 2008. – 600 с.
  21. 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.
  22. Learning and Inference in Computational Systems Biology (Computational Molecular Biology). – М.: , 2010. – 400 с.
  23. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 524 с.
  24. Advances in Machine Learning II: Dedicated to the memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 532 с.
  25. Encyclopedia of Machine Learning. – М.: , 2010. – 1020 с.
  26. Warren E. Stewart. Computer–Aided Modeling of Reactive Systems. – М.: , 2008. – 268 с.
  27. Albert Smith. Architectural Model as Machine. – М.: , 2010. – 192 с.
  28. Balas K. Natarajan. Machine Learning. – М.: , 2010. – 217 с.
  29. Y. Anzai. Pattern Recognition & Machine Learning. – М.: , 2010. – 407 с.
  30. Katharina Morik. Knowledge Acquisition and Machine Learning. – М.: , 2010. – 305 с.
  31. Ryszard S. Michalski. Machine Learning. – М.: , 2010. – 572 с.
  32. Ethem Alpaydin. Introduction to Machine Learning 2e (OISC). – М.: , 2010. – 584 с.
  33. Etham Alpaydin. Introduction to Machine Learning (OIP). – М.: , 2004. – 400 с.
  34. JP ISENBERG. Isenberg Playthings As ?learning Tools? – A Parent S? Guide (paper Only). – М.: , 1982. – 176 с.
  35. Brednan Jf Frey. Graphical Models for Machine Learning & Digital Communications. – М.: , 1998. – 220 с.
  36. K. J. McConway. Statistical Modelling Using Genstat. – М.: , 1999. – 0 с.
  37. Joaquin Quinone Quinonero–cande. Dataset Shift in Machine Learning. – М.: , 2009. – 248 с.
  38. Mj Kearns. The Computational Complexity of Machine Learning. – М.: , 1990. – 184 с.
  39. Chandan Sengupta. Financial Modeling Using C++. – М.: , 2007. – 566 с.
  40. RS FORSYTH. Forsyth ?machine? Learning – Applications In Exper T Systems & Information Retrieval. – М.: , 1986. – 278 с.
  41. Evelyn Fox Keller. Making Sense of Life – Explaining Biological Development with Models, Metaphors & Machines. – М.: , 2002. – 352 с.
  42. Evelyn Fox Keller. Making Sense of Life – Explaining Biological Development with Models, Metaphors & Machines. – М.: , 2003. – 400 с.
  43. Francesco Bergadano. Inductive Logic Programming – From Machine Learning to Software Engineering. – М.: , 1996. – 256 с.
  44. Hojjat Adeli. Machine Learning. – М.: , 1994. – 212 с.
  45. Carl Edward Rasmussen. Gaussian Processes for Machine Learning. – М.: , 2006. – 272 с.
  46. J Carbonell. Machine Learning – Paradigms and Methods. – М.: , 1990. – 400 с.
  47. Pierre Baldi. Bioinformatics – The Machine Learning Approach 2e (OI) (S). – М.: , 2001. – 400 с.
  48. Pierre Baldi. Bioinformatics – The Machine Learning Approach. – М.: , 1998. – 370 с.
  49. Alias Learning Tools. Learning Maya® 7. – М.: , 2005. – 688 с.
  50. Alias Learning Tools. Learning Maya 6. – М.: , 2006. – 0 с.
  51. Alias Learning Tools. Learning Maya® 7 Maya Unlimited Features. – М.: , 2006. – 274 с.
  52. Alias Learning Tools. MayaTM Techniques. – М.: , 2006. – 244 с.
  53. Alias Learning Tools. Learning Maya 6. – М.: , 2006. – 0 с.
  54. Alias Learning Tools. Discover the Game with Alias®. – М.: , 2005. – 298 с.
  55. Alias Learning Tools. Learning Design with Alias® StudioToolsTM. – М.: , 2006. – 296 с.
  56. Machine Learning. – М.: , 1997. – 0 с.
  57. Models Of Learning, Tools For Teaching. – М.: , 2011. – 280 с.
  58. Mark Utting, Bruno Legeard. Practical Model-Based Testing: A Tools Approach. – М.: , 2006. – 456 с.
  59. 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.
  60. Bruce Dang, Alexandre Gazet, Elias Bachaalany. Practical Reverse Engineering: x86, x64, ARM, Windows Kernel, Reversing Tools, and Obfuscation. – М.: Wiley, 2014. – 384 с.
  61. BARLETT. A PRACTITIONERS GUIDE TO BUSINESS ANALYTICS: USING DATA ANALYSIS TOOLS TO IMPROVE YOUR ORGANIZATION'S DECISION MAKING AND STRATEGY. – М.: , 2013. –  с.
  62. SPENCER. BUSINESS MODEL DESIGN AND LEARNING: A STRATEGIC GUIDE. – М.: , 2013. –  с.
  63. Jianbo Yang. Feature selection and model selection in supervised learning. – М.: LAP Lambert Academic Publishing, 2015. – 160 с.
  64. Atul Rai. An Empirical Study of Periodic noise filtering in Fourier domain. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  65. Shruti Gujral. Text Dependent Speaker Recognition: A Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2013. – 72 с.
  66. David Ping Yan,Zhan W. Chen and Guy Littlefair. FSW of Thick Section 6061 Al Alloys Using Scroll Shoulder Tool. – М.: LAP Lambert Academic Publishing, 2010. – 148 с.
  67. Priyanka Sharma. New Fragile and Non Blind Watermarking Insertion Model using MATLAB. – М.: LAP Lambert Academic Publishing, 2013. – 112 с.
  68. Gragn Kedir and Sebsibe Hailemariam. Qebena-English Bilingual Dictionary: Using Machine Translation. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  69. Wasantha Samarathunga. Computational Models of Emotion Using Graphical Parameters of Pictures. – М.: LAP Lambert Academic Publishing, 2013. – 164 с.
  70. Roslina Ahmed Tajuddin and Shida Nordin. Student's Learning Satisfaction using Blended Learning in universities. – М.: LAP Lambert Academic Publishing, 2014. – 112 с.
  71. Asmatullah Chaudhry. Image Processing using Punctual Kriging and Machine Learning. – М.: LAP Lambert Academic Publishing, 2009. – 116 с.
  72. Manoj Kumar Singh,Bharat Raj Singh and M.A. Faruqi. Modeling And Simulation Of Dynamic Half Car Using Bond Graph. – М.: LAP Lambert Academic Publishing, 2014. – 104 с.
  73. Nidhi Umarav. Study of Modelling of Single Chamber Microbial Fuel Cell. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  74. Somanatha M.,Manjunatha N. and Lakshmana Dhasaradha Kumar G. A Review on Wheel Rim Modeling and Analysis Using CAD and CAE. – М.: LAP Lambert Academic Publishing, 2014. – 84 с.
  75. Ngangkham Devarani and Promod Kumar Patowari. Surface Modification of Graphite by Electrical Discharge Machine. – М.: LAP Lambert Academic Publishing, 2013. – 80 с.
  76. Luboslav Straka. Analysis of Wire-Cut Electrical Discharge Machined Surface. – М.: LAP Lambert Academic Publishing, 2014. – 108 с.
  77. Gopal U. Shinde and Sunil B. Sharma. Design Optimization in Tillage Tool System by CAD/CAM/CAE:Vol:I. – М.: LAP Lambert Academic Publishing, 2013. – 172 с.
  78. Srinivasa Prasad Balla. Measurement of Cutting Tool Condition by Surface Texture Analysis. – М.: LAP Lambert Academic Publishing, 2010. – 116 с.
  79. N. V. S. Raju. Reliability Centered Maintenance Models for Mining Machinery. – М.: LAP Lambert Academic Publishing, 2012. – 256 с.
  80. Bijoy Kumar Nanda and Ashirbad Swain. Analysis of machine tool structure using RSM approach. – М.: LAP Lambert Academic Publishing, 2012. – 68 с.
  81. Ramprasad Vijayagopal and Rama Venkat. Flux Profile Modeling using Monte Carlo Simulation. – М.: LAP Lambert Academic Publishing, 2010. – 104 с.
  82. Rui Silva. CUTTING TOOL CONDITION MONITORING USING ARTIFICIAL INTELLIGENCE. – М.: LAP Lambert Academic Publishing, 2010. – 208 с.
  83. Philip Morley and David Brunckhorst. ''Sea-Change'' and Landscape Change. – М.: LAP Lambert Academic Publishing, 2010. – 384 с.
  84. Chrissie Ennie Nampeya. The use of cataloguing tools and resources by cataloguers:. – М.: LAP Lambert Academic Publishing, 2011. – 124 с.
  85. 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.
  86. Parameshwar Shirgure and G. S. Rajput. Evaporation modeling using Artificial neural networks. – М.: LAP Lambert Academic Publishing, 2012. – 328 с.
  87. Lipalesa Khalema-Malebese and Fethi Ahmed. Hydrological Flow Modelling Using Geographic Information Systems (GIS). – М.: LAP Lambert Academic Publishing, 2012. – 104 с.
  88. Vadim Rukavitsyn. Ecosystem Condition Modeling Using Machine Learning Tools. – М.: LAP Lambert Academic Publishing, 2015. – 132 с.
  89. Madhu Sudan Pudasaini. EROSION MODELLING UNDER DIFFERENT LAND USE. – М.: LAP Lambert Academic Publishing, 2010. – 236 с.
  90. Shalinee Tiwari. Healthy or Diseased?. – М.: LAP Lambert Academic Publishing, 2012. – 116 с.
  91. Guy Lebanon. Riemannian Geometry and Statistical Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 140 с.
  92. Stephy Thomas. Stochastic Modelling Using Markov Chains. – М.: LAP Lambert Academic Publishing, 2012. – 120 с.
  93. Innocent Mamvura. Statistical Modelling in Higher Learning. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  94. Hossein Karshenas. Specialized Model Learning for Optimization. – М.: LAP Lambert Academic Publishing, 2013. – 216 с.
  95. Mehmet Ergun Bicici. The Regression Model of Machine Translation. – М.: LAP Lambert Academic Publishing, 2011. – 172 с.
  96. Nataliia Semenenko. Diagnosis of Cross-Browser Compatibility Issues via Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  97. Aneta Trajanov. Machine learning in agroecology. – М.: LAP Lambert Academic Publishing, 2011. – 140 с.
  98. Sharad Shandilya. Machine Learning and Non-Linear Dynamics to the Rescue. – М.: Scholars' Press, 2013. – 88 с.
  99. Patricia Alafaireet. Developing a Model of Psychiatric Visit Non-Adherence. – М.: LAP Lambert Academic Publishing, 2010. – 252 с.
  100. Mark Rossman. Automated Detection of Hematological Patterns Through Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 128 с.
  101. Anand Kumar M. Tamil Linguistic Tools and English-Tamil Machine Translation System. – М.: LAP Lambert Academic Publishing, 2014. – 300 с.
  102. Glenn Wilkinson. Identification of Hostile TCP Traffic using Support Vector Machines. – М.: LAP Lambert Academic Publishing, 2010. – 80 с.
  103. 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.
  104. Gaurav Mishra and Gulshan Ahuja. Classification of data mining techniques in intrusion detection. – М.: LAP Lambert Academic Publishing, 2013. – 52 с.
  105. Soumyajit Dey and Anupam Basu. Embedded Architectures for Speech and Machine Learning. – М.: LAP Lambert Academic Publishing, 2010. – 128 с.
  106. Divya Jain. Data Mining Approach for Healthcare Management of NCD`S. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  107. Fan Liu. A New Modeling for Knowledge Transfer in Machine Learning. – М.: LAP Lambert Academic Publishing, 2011. – 88 с.
  108. Tanzila Saba and Amjad Rehman. Machine Learning and Script Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 168 с.
  109. 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.
  110. Mehmet ACI. DEVELOPMENT OF TWO HYBRID CLASSIFICATION METHODS FOR MACHINE LEARNING. – М.: LAP Lambert Academic Publishing, 2011. – 48 с.
  111. Shelly Gupta. Performance Analysis of Data Mining Classification Techniques. – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  112. Kunwar Babar Ali. Quality Prediction using Machine Learning Technique(MLT). – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  113. DURSUN AKASLAN. A Model for Personalised Learning on the Internet. – М.: LAP Lambert Academic Publishing, 2009. – 68 с.
  114. Muhamamd Mahbubur Rahman. Protein Classification using Machine Learning Approaches. – М.: LAP Lambert Academic Publishing, 2012. – 84 с.
  115. 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.
  116. Lum Zhaveli. Gauging affectivity in social networks. – М.: LAP Lambert Academic Publishing, 2013. – 136 с.
  117. Valdis Vitolins and Audris Kalnins. Business Process Modeling Using a Metamodeling Approach. – М.: LAP Lambert Academic Publishing, 2014. – 56 с.
  118. Thanh-Quang Chu. Agent-based models and machine learning in decision support systems. – М.: LAP Lambert Academic Publishing, 2015. – 208 с.
  119. Leonardo Rigutini. Automatic Text Processing: Machine Learning Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 148 с.
  120. Rajnish Kumar,Anju Sharma and Pritish Kumar Varadwaj. Machine Learning and Biological Data. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.
  121. Sheetal Dabra and Sunil Agrawal. Identification of Handwritten Characters using Machine Learning. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  122. Randa Al-Khaldi. Inconsistency Management in Software Functional Requirements. – М.: LAP Lambert Academic Publishing, 2012. – 204 с.
  123. Manuj Darbari and Rishi Asthana. Intelligent Urban Traffic Modeling Using Neuro-Fuzzy Petrinets. – М.: Scholars' Press, 2013. – 152 с.
  124. Babak Loni. Enhanced Question Classification with Optimal Combination of Features. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  125. Nigel Struble. Measuring Glycemic Variability and Predicting Blood Glucose Levels. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  126. Mahmoud Mohanna. Modeling of Mobile Learning. – М.: LAP Lambert Academic Publishing, 2014. – 260 с.
  127. Andre Cardoso. Generation of Radiographs from 3D Anatomical Models Using the GPU. – М.: LAP Lambert Academic Publishing, 2012. – 128 с.
  128. Terje Kristensen,Vemund Jakobsen and Alvhild Alette Bjorkum. Data Clustering. – М.: LAP Lambert Academic Publishing, 2014. – 92 с.
  129. Sokyna Al-Qatawneh. 3D Facial Feature Extraction and Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 196 с.
  130. Ravinder Singh. Credit Risk Analytics: Predictive Modeling Techniques Comparison. – М.: LAP Lambert Academic Publishing, 2012. – 156 с.
  131. L. Kanaga lakshmi. Training Need Assessment based on Competency Mapping. – М.: LAP Lambert Academic Publishing, 2012. – 288 с.
  132. Ismael Arciniegas Rueda. Explaining Currency Crises: A Statistical Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2010. – 472 с.
  133. Patrick Gerard Paulino. An Active Learning Strategy Model Using Religious Drama. – М.: LAP Lambert Academic Publishing, 2014. – 252 с.
  134. Katya DeGiovanni. The Use of Learning Styles in Music Teaching. – М.: LAP Lambert Academic Publishing, 2013. – 128 с.
  135. Suganya Ramamoorthy and Rajaram Sivasubramanian. Classification of US liver images using machine learning techniques. – М.: LAP Lambert Academic Publishing, 2014. – 164 с.
  136. Siti Sarah Mohd Johari and Issham Ismail. The Acceptance Model of Mobile Learning. – М.: LAP Lambert Academic Publishing, 2012. – 140 с.
  137. Victor Boyarshinov. Machine Learning In Computational Finance. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  138. Saul Kornik. Machine Learning for Corporate Failure Prediction. – М.: LAP Lambert Academic Publishing, 2012. – 364 с.
  139. Kevin P. Murphy. Machine Learning: A Probabilistic Perspective. – М.: The MIT Press, 2012. – 1104 с.
  140. Jason Bell. Machine Learning: Hands??“On for Developers and Technical Professionals. – М.: , 2014. –  с.

Лучшие результаты

Ничего не найдено

Дополнительные результаты

  1. Необходимые и достаточные условия e-learning. М. Удовиченко, "Финансовая газета. Региональный выпуск", № 45, ноябрь 2004.
  2. Автоматизация функционально-стоимостного управления с применением Hyperion Business Modeling. Д. Исаев, М. Перьков, "Финансовая газета. Региональный выпуск", № 41, 42, октябрь 2004.
  3. E-learning - противоядие от рутины. О. Сизова, "Расчет", № 10, октябрь 2008.

Образцы работ

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Этапы формирования теории президентства
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Менеджмент
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Диплом
80 стр.

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Валерия, 19.06
Марина, здравствуйте! Я защитилась на 5! Спасибо Вам:)