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  1. Arpana Rawal,H. R. Sharma and Mahoj Kumar Kowar. Machine Learning for Text Document Relevance Ranking. – М.: LAP Lambert Academic Publishing, 2014. – 180 с.

Дополнительные результаты

  1. Laszlo Gyorfi. Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts). – М.: , 2012. – 250 с.
  2. Markov Networks in Evolutionary Computation (Adaptation, Learning, and Optimization). – М.: , 2012. – 264 с.
  3. Karl M. Kapp, William F. Latham, Hester N. Ford-Latham, Karl M Kapp. Integrated Learning for ERP Success: A Learning Requirements Planning Approach. – М.: , 0. – 0 с.
  4. John C. Redding, John C. Redding. The Radical Team Handbook: Harnessing the Power of Team Learning for Breakthrough Results. – М.: , 0. – 0 с.
  5. Stephen Billett. Learning in the Workplace: Strategies for Effective Practice. – М.: , 0. – 0 с.
  6. 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.
  7. Elaine Gray. Conscious Choices : A Model for Self-Directed Learning. – М.: , 0. – 0 с.
  8. Richard A. McCormack. Lean Machines: Learning From the Leaders of the Next Industrial Revolution. – М.: , 0. – 0 с.
  9. Van B. Weigel. Deep Learning for a Digital Age: Technology's Untapped Potential to Enrich Higher Education. – М.: , 0. – 0 с.
  10. W. R. J. Baets, Gert Van Der Linden. Virtual Corporate Universities: A Matrix of Knowledge and Learning for the New Digital Dawn (Integrated Series in Information Systems, 2). – М.: , 0. – 0 с.
  11. Ron Fry. Improve Your Reading (Improve Your Reading). – М.: Thomson Delmar Learning, 2004. – 128 с.
  12. Mitsy Ballentine. Machine Transcription & Dictation, Text/CD. – М.: , 2004. – 0 с.
  13. Frederick Jones. Accounting Information Systems : A Business Process Approach. – М.: , 2005. – 0 с.
  14. Michael Dulworth. Corporate Learning : Proven and Practical Guidelines for Building a Sustainable Learning Strategy. – М.: , 2005. – 0 с.
  15. 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.
  16. Philip C. Kolin. Successful Writing At Work. – М.: , 2004. – 0 с.
  17. David Boud, Peter Cressey, Peter Docherty. PRODUCTIVE REFLECTION AT WORK: LEARNING FOR CHANGING ORGANIZATIONS. – М.: , 2006. – 232 с.
  18. Philip C. Kolin. Successful Writing at Work. – М.: , 2006. – 756 с.
  19. Cheryl A. Stevens. Service Learning for Health, Physical Education, and Recreation: A Step-by-step Guide. – М.: , 2008. – 128 с.
  20. John A. Wanat. Learning for Earning: Your Route to Success. – М.: , 2008. – 526 с.
  21. 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.
  22. Michael J. Marquardt, H. Skipton Leonard, Arthur M. Freedman, Claudia C. Hill. Action Learning for Developing Leaders and Organizations: Principles, Strategies, and Cases. – М.: , 2009. – 392 с.
  23. Handbook of Natural Language Processing, Second Edition (Chapman & Hall/Crc Machine Learning & Pattern Recognition). – М.: , 2010. – 704 с.
  24. Ernest F. Haeussler, Richard S. Paul, Richard J. Wood. Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences (13th Edition). – М.: , 2010. – 888 с.
  25. 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.
  26. Jeremy Ellman. Using Roget?s Thesaurus to Determine the Similarity of Texts: A Thesis in Computational Linguistics. – М.: , 2010. – 228 с.
  27. Harry O'Neil, Ray Perez. Computer Games and Team and Individual Learning. – М.: Elsevier Science, 2007. – 340 с.
  28. Florian Hahne, Wolfgang Huber, Robert Gentleman, Seth Falcon. Bioconductor Case Studies (Use R). – М.: , 2008. – 284 с.
  29. Alan Julian Izenman. Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics). – М.: , 2008. – 734 с.
  30. Scientific Data Ranking Methods, Volume 27: Theory and Applications (Data Handling in Science and Technology). – М.: , 2009. – 224 с.
  31. 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.
  32. Learning and Inference in Computational Systems Biology (Computational Molecular Biology). – М.: , 2010. – 400 с.
  33. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 524 с.
  34. Advances in Machine Learning II: Dedicated to the memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 532 с.
  35. Encyclopedia of Machine Learning. – М.: , 2010. – 1020 с.
  36. Michael W. Berry, Jacob Kogan. Text Mining: Applications and Theory. – М.: Wiley-Blackwell, 2010. – 222 с.
  37. Luca Rossini. Brain Machine Interfaces for Space Applications: enhancing astronaut capabilities,86. – М.: , 2010. – 296 с.
  38. Balas K. Natarajan. Machine Learning. – М.: , 2010. – 217 с.
  39. Y. Anzai. Pattern Recognition & Machine Learning. – М.: , 2010. – 407 с.
  40. Katharina Morik. Knowledge Acquisition and Machine Learning. – М.: , 2010. – 305 с.
  41. Ryszard S. Michalski. Machine Learning. – М.: , 2010. – 572 с.
  42. Ethem Alpaydin. Introduction to Machine Learning 2e (OISC). – М.: , 2010. – 584 с.
  43. Etham Alpaydin. Introduction to Machine Learning (OIP). – М.: , 2004. – 400 с.
  44. Brednan Jf Frey. Graphical Models for Machine Learning & Digital Communications. – М.: , 1998. – 220 с.
  45. W T Debary. Learning for Oneself. – М.: , 1991. – 461 с.
  46. Joaquin Quinone Quinonero–cande. Dataset Shift in Machine Learning. – М.: , 2009. – 248 с.
  47. Mj Kearns. The Computational Complexity of Machine Learning. – М.: , 1990. – 184 с.
  48. RS FORSYTH. Forsyth ?machine? Learning – Applications In Exper T Systems & Information Retrieval. – М.: , 1986. – 278 с.
  49. Francesco Bergadano. Inductive Logic Programming – From Machine Learning to Software Engineering. – М.: , 1996. – 256 с.
  50. Hojjat Adeli. Machine Learning. – М.: , 1994. – 212 с.
  51. Carl Edward Rasmussen. Gaussian Processes for Machine Learning. – М.: , 2006. – 272 с.
  52. Jeffrey Rusten. The Birth of Comedy – Texts, Documents, and Art from Athenian Comic Competitions, 486 280. – М.: , 2011. – 576 с.
  53. J Carbonell. Machine Learning – Paradigms and Methods. – М.: , 1990. – 400 с.
  54. Pierre Baldi. Bioinformatics – The Machine Learning Approach 2e (OI) (S). – М.: , 2001. – 400 с.
  55. Pierre Baldi. Bioinformatics – The Machine Learning Approach. – М.: , 1998. – 370 с.
  56. Machine Learning. – М.: , 1997. – 0 с.
  57. Teacher Learning For Educational Change. – М.: , 2011. – 0 с.
  58. Teacher Learning For Educational Change. – М.: , 2011. – 0 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. Roland K. Yeo. Organisational Development in the 21st Century: Learning for Success - Lessons from Singapore's Learning Organisations. – М.: VDM Verlag Dr. Muller, 2009. – 212 с.
  61. Ehmann S., Borges S. Learn for Life: New Architecture for New Learning. – М.: , 2012. – 288 с.
  62. Arun Kumar Gupta. Optimization Of Machining Parameters & Non Productive Time For Milling. – М.: LAP Lambert Academic Publishing, 2014. – 152 с.
  63. Shruti Gujral. Text Dependent Speaker Recognition: A Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2013. – 72 с.
  64. Fasil Alemeye. Automatic Amharic news text classification with C# and Python. – М.: LAP Lambert Academic Publishing, 2013. – 60 с.
  65. Asharaf S. Efficient Kernel Methods For Large Scale Classification. – М.: LAP Lambert Academic Publishing, 2011. – 132 с.
  66. Asmatullah Chaudhry. Image Processing using Punctual Kriging and Machine Learning. – М.: LAP Lambert Academic Publishing, 2009. – 116 с.
  67. Himani Mittal and Dinesh Chandra. Finite State Machine Decomposition for Low Power. – М.: LAP Lambert Academic Publishing, 2013. – 96 с.
  68. Jackson G. Njiri,Bernard W. Ikua and George N. Nyakoe. Optimization of machining parameters for ball-end milling. – М.: LAP Lambert Academic Publishing, 2011. – 108 с.
  69. Zohra Saidane. Image and video text recognition using convolutional neural networks. – М.: LAP Lambert Academic Publishing, 2011. – 156 с.
  70. Marin Chirazi. Machine Workouts For Body Modelling. – М.: LAP Lambert Academic Publishing, 2014. – 124 с.
  71. Prof Magid Maatallah. Statistical Methodology. – М.: LAP Lambert Academic Publishing, 2011. – 128 с.
  72. 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.
  73. Alvina Sheeley. Learning For Cambodian Women. – М.: Scholars' Press, 2014. – 188 с.
  74. 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.
  75. Emad H. M. Kamal and S. M. Sayyah. A New Chemical Treatment Technique for Paper Documents Preservation. – М.: LAP Lambert Academic Publishing, 2011. – 332 с.
  76. Vadim Rukavitsyn. Ecosystem Condition Modeling Using Machine Learning Tools. – М.: LAP Lambert Academic Publishing, 2015. – 132 с.
  77. Setu Kar. Comparing Prediction Accuracy For Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 124 с.
  78. Guy Lebanon. Riemannian Geometry and Statistical Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 140 с.
  79. Hossein Karshenas. Specialized Model Learning for Optimization. – М.: LAP Lambert Academic Publishing, 2013. – 216 с.
  80. Guzman Santafe. Advances in Supervised and Unsupervised Learning of Bayesian Networks. – М.: LAP Lambert Academic Publishing, 2010. – 224 с.
  81. Robert Andrawis. Advanced Forecasting Techniques with Application to NN5 Time Series. – М.: LAP Lambert Academic Publishing, 2012. – 132 с.
  82. Nataliia Semenenko. Diagnosis of Cross-Browser Compatibility Issues via Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  83. Aneta Trajanov. Machine learning in agroecology. – М.: LAP Lambert Academic Publishing, 2011. – 140 с.
  84. Sharad Shandilya. Machine Learning and Non-Linear Dynamics to the Rescue. – М.: Scholars' Press, 2013. – 88 с.
  85. Sureyya Ozogur Akyuz. Infinite Kernel Learning by Semi-infinte Optimization. – М.: LAP Lambert Academic Publishing, 2011. – 172 с.
  86. Hui-chun Liu and John C .C. Cheng. A Study of Comparing Model and Actual Contracts for a Joint Venture. – М.: LAP Lambert Academic Publishing, 2011. – 208 с.
  87. Mark Rossman. Automated Detection of Hematological Patterns Through Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 128 с.
  88. V. G. Shabaev. Philosophy in Learning English. – М.: LAP Lambert Academic Publishing, 2012. – 160 с.
  89. Bin Zou. Computer-Assisted Language Learning for Listening and Speaking Skills. – М.: LAP Lambert Academic Publishing, 2012. – 164 с.
  90. Anand Kumar M. Tamil Linguistic Tools and English-Tamil Machine Translation System. – М.: LAP Lambert Academic Publishing, 2014. – 300 с.
  91. Yxstian Gutierrez. An Accommodation for Learning Disabled Students. – М.: Scholars' Press, 2014. – 164 с.
  92. Louise Taylor. Re-imagining teacher professional learning for social change. – М.: LAP Lambert Academic Publishing, 2014. – 512 с.
  93. Jannette Keating. How Language Impacts Art Education for the Visually Impaired. – М.: LAP Lambert Academic Publishing, 2014. – 180 с.
  94. Rami Kamel. Activating an Inclusive Learning Framework for Formal Adult Education. – М.: LAP Lambert Academic Publishing, 2014. – 76 с.
  95. Sareewan Dendamrongvit. Induction in Hierarchical Multi-label Domains. – М.: LAP Lambert Academic Publishing, 2011. – 220 с.
  96. Kamaljeet Kaur Batra. A Punjabi to English Machine Translation System for Legal Documents. – М.: LAP Lambert Academic Publishing, 2014. – 416 с.
  97. Ram Gopal Raj. An Adaptive Learning Tele-text Chatterbot. – М.: LAP Lambert Academic Publishing, 2012. – 224 с.
  98. Sandip Ramkrishna Pandit. Graph Based Query Specific Multi-document Text Summarization. – М.: LAP Lambert Academic Publishing, 2014. – 76 с.
  99. 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.
  100. Soumyajit Dey and Anupam Basu. Embedded Architectures for Speech and Machine Learning. – М.: LAP Lambert Academic Publishing, 2010. – 128 с.
  101. Fathi Saad,Beatriz de la Iglesia and Duncan Bell. A Classification Method to Extract Knowledge from Text Documents. – М.: LAP Lambert Academic Publishing, 2012. – 220 с.
  102. Fan Liu. A New Modeling for Knowledge Transfer in Machine Learning. – М.: LAP Lambert Academic Publishing, 2011. – 88 с.
  103. Tanzila Saba and Amjad Rehman. Machine Learning and Script Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 168 с.
  104. Chaminda Jayasundara and C.M.C. Edirimanna. Web Centered Information for University Ranking. – М.: LAP Lambert Academic Publishing, 2013. – 64 с.
  105. 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.
  106. Mehmet ACI. DEVELOPMENT OF TWO HYBRID CLASSIFICATION METHODS FOR MACHINE LEARNING. – М.: LAP Lambert Academic Publishing, 2011. – 48 с.
  107. Hitesh Singh. Reconstructing Printed Document Using Text Based Steganography. – М.: LAP Lambert Academic Publishing, 2011. – 84 с.
  108. Arpana Rawal,H. R. Sharma and Mahoj Kumar Kowar. Machine Learning for Text Document Relevance Ranking. – М.: LAP Lambert Academic Publishing, 2014. – 180 с.
  109. Kunwar Babar Ali. Quality Prediction using Machine Learning Technique(MLT). – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  110. Patrick D. Kihoza. ICT and Project Based Learning for Sustainable Conservation Education. – М.: LAP Lambert Academic Publishing, 2012. – 116 с.
  111. Yahya AlMurtadha and Md. Nasir Sulaiman. Improved Reinforcement-Based Profile Learning for Documents Filtering. – М.: LAP Lambert Academic Publishing, 2012. – 120 с.
  112. Sanjay Gharde. Support Vector Machine for Handwritten Numeral Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  113. Mohammed M. Abu Tair. Large-Scale Arabic Text Classification. – М.: LAP Lambert Academic Publishing, 2013. – 128 с.
  114. Rohit Pachlor. Multi-Document Summarization. – М.: LAP Lambert Academic Publishing, 2013. – 100 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. Thanh-Quang Chu. Agent-based models and machine learning in decision support systems. – М.: LAP Lambert Academic Publishing, 2015. – 208 с.
  117. Muhammad Abulaish. Ontology Engineering for Imprecise Knowledge Management. – М.: LAP Lambert Academic Publishing, 2009. – 224 с.
  118. Leonardo Rigutini. Automatic Text Processing: Machine Learning Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 148 с.
  119. Kshitij Dhoble. Active Learning for Image Recognition and Retrieval. – М.: LAP Lambert Academic Publishing, 2011. – 128 с.
  120. Rajnish Kumar,Anju Sharma and Pritish Kumar Varadwaj. Machine Learning and Biological Data. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.
  121. Mussarat Yasmin. Key Based Text Watermarking of E-Text Documents Using Z-axis. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  122. Surafel Teklu. Automatic Categorization Of Amharic News Text. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  123. Mohammed AL Zamil. A Framework for Ranking and Categorizing Medical Documents. – М.: LAP Lambert Academic Publishing, 2014. – 176 с.
  124. Jeremy Ellman. Using Roget’s Thesaurus to Determine the Similarity of Texts. – М.: LAP Lambert Academic Publishing, 2010. – 228 с.
  125. Haralampos Karanikas. Text Mining to Support Business Intelligence. – М.: LAP Lambert Academic Publishing, 2010. – 220 с.
  126. Sheetal Dabra and Sunil Agrawal. Identification of Handwritten Characters using Machine Learning. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  127. Nigel Struble. Measuring Glycemic Variability and Predicting Blood Glucose Levels. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  128. Subhadip Basu,Mahantapas Kundu and Mita Nasipuri. Development of OCR Techniques for Handwritten Bangla Text. – М.: LAP Lambert Academic Publishing, 2012. – 192 с.
  129. Federico Divina. Genetic Relational Search for Inductive Concept Learning. – М.: LAP Lambert Academic Publishing, 2010. – 192 с.
  130. Ravindranath Chowdary. Efficient Query-Specific Summarization of Text Documents. – М.: LAP Lambert Academic Publishing, 2010. – 112 с.
  131. Goh Kwang Leng,Ashutosh Kumar Singh and Lim King Hann. Web Spam Detection Application using Neural Network. – М.: Scholars' Press, 2013. – 60 с.
  132. MICHELE PASIN,Enrico Motta and Zdenek Zdrahal. Semantic technologies for eLearning. – М.: LAP Lambert Academic Publishing, 2010. – 288 с.
  133. Suresh Veluru and Viswanath Pulabaigari. Scalable Non-Parametric Pattern Recognition Techniques for Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 116 с.
  134. Ismael Arciniegas Rueda. Explaining Currency Crises: A Statistical Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2010. – 472 с.
  135. Aisha Namukwaya and Mouhamad Mpezamihigo. Exploring Electronic Learning for Distance Education in Uganda. – М.: LAP Lambert Academic Publishing, 2013. – 56 с.
  136. Victor Boyarshinov. Machine Learning In Computational Finance. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  137. Saul Kornik. Machine Learning for Corporate Failure Prediction. – М.: LAP Lambert Academic Publishing, 2012. – 364 с.
  138. Kevin P. Murphy. Machine Learning: A Probabilistic Perspective. – М.: The MIT Press, 2012. – 1104 с.
  139. Jason Bell. Machine Learning: Hands??“On for Developers and Technical Professionals. – М.: , 2014. –  с.
  140. Deep Learning. – М.: , . –  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. Мы можем управлять собственными мыслями. интервью с С. Харитоновым, врачом-психотерапевтом, психиатором, кандидатом медицинских наук, старшим научным сотрудником Московского НИИ психиатрии Росздрава РФ, членом-корреспондентом Международной академии наук. МАНЭБ, членом Британского общества когнитивных и поведенческих психотерапевтов. Membership British Association for Behavioural & Cognitive Psychoterapies / BABCP. Ф. Кульпин, "Управление персоналом", N 8, апрель 2011 г.
  3. Зачетная реструктуризация долга: институт DEBT-FOR-EQUITY SWAP в России". интервью с М. Григорьевым, старшим юристом корпоративной практики юридической фирмы "Вегас-Лекс". О. Бодрягина, "эж-ЮРИСТ", № 3, январь 2010.
  4. E-learning - противоядие от рутины. О. Сизова, "Расчет", № 10, октябрь 2008.
  5. Управление проектами при подборе персонала. PM for HR. Е. Кривов, "Кадровик. Рекрутинг для кадровика", № 9, сентябрь 2008.

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Татьяна, 29.05
По поводу диплома 5 поставили Все отлично, большое спасибо за такую колоссальную работу, а главное за то, что протерпели бешеный темп в конце!