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  1. Setu Kar. Comparing Prediction Accuracy For Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 124 с.
  2. Sara Al-Ruzeiqi. Efficiency of Data Mining. – М.: LAP Lambert Academic Publishing, 2014. – 120 с.

Дополнительные результаты

  1. Laszlo Gyorfi. Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts). – М.: , 2012. – 250 с.
  2. 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.
  3. Markov Networks in Evolutionary Computation (Adaptation, Learning, and Optimization). – М.: , 2012. – 264 с.
  4. Anthony DiBella, Edwin C. Nevis. How Organizations Learn : An Integrated Strategy for Building Learning Capability (JOSSEY BASS BUSINESS AND MANAGEMENT SERIES). – М.: , 0. – 0 с.
  5. KimMarie McGoldrick, Andrea L. Ziegert. Putting the Invisible Hand to Work : Concepts and Models for Service Learning in Economics. – М.: , 0. – 0 с.
  6. Thomas Brenner. Computational Techniques for Modelling Learning in Economics (Advances in Computational Economics, V. 11). – М.: , 0. – 0 с.
  7. Ronald R. Sims. Teaching Business Ethics for Effective Learning. – М.: , 0. – 0 с.
  8. The Power of Collaborative Leadership: : Lessons for the Learning Organization. – М.: , 0. – 0 с.
  9. William J. Rothwell, Ethan S. Sanders, Jeffrey G. Soper. ASTD Models for Workplace Learning and Performance. – М.: , 0. – 0 с.
  10. Annie Bessot, Jim Ridgway. Education for Mathematics in the Workplace (Mathematics Education Library, Volume 24). – М.: , 0. – 0 с.
  11. Kevin L. Hoag. Skill Development for Engineers: An Innovative Model for Advanced Learning in the Workplace. – М.: , 0. – 0 с.
  12. Kenneth B. Rexford, Peter R. Giuliani. Electrical Control for Machines, 6E. – М.: , 0. – 0 с.
  13. Richard A. McCormack. Lean Machines: Learning From the Leaders of the Next Industrial Revolution. – М.: , 0. – 0 с.
  14. Barbara Jacoby, and Associates. Building Partnerships for Service Learning. – М.: , 0. – 0 с.
  15. Preparing Learners for e-Learning. – М.: , 2003. – 0 с.
  16. Sandra Yelverton. Calculator Applications for Business. – М.: , 2005. – 208 с.
  17. Elaine Biech. ASTD Handbook for Workplace Learning Professionals. – М.: , 2008. – 904 с.
  18. 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.
  19. 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.
  20. 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.
  21. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 524 с.
  22. Advances in Machine Learning II: Dedicated to the memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 532 с.
  23. Encyclopedia of Machine Learning. – М.: , 2010. – 1020 с.
  24. Balas K. Natarajan. Machine Learning. – М.: , 2010. – 217 с.
  25. Y. Anzai. Pattern Recognition & Machine Learning. – М.: , 2010. – 407 с.
  26. Katharina Morik. Knowledge Acquisition and Machine Learning. – М.: , 2010. – 305 с.
  27. Ryszard S. Michalski. Machine Learning. – М.: , 2010. – 572 с.
  28. PITTMAN. AUTONOMIC NERVOUS SYSTEMS , SET STUDENT VERSION MACINTOSH MOD 5OPEN PROGRAM FOR ASSOCIATIVE LEARNING OPAL. – М.: , 2010. – 0 с.
  29. Reza Shadmehr. The Computational Neurobiology of Reaching and Pointing – A Foundation for Motor Learning. – М.: , 2004. – 544 с.
  30. Ethem Alpaydin. Introduction to Machine Learning 2e (OISC). – М.: , 2010. – 584 с.
  31. Etham Alpaydin. Introduction to Machine Learning (OIP). – М.: , 2004. – 400 с.
  32. Designing Courses for Significant Learning: Voices of Experience. – М.: , 2009. – 0 с.
  33. Cynthia A. Lassonde. Teacher Collaboration for Professional Learning. – М.: , 2010. – 208 с.
  34. C SS OLIVER. Oliver Operations Manual For ?machine? Tool Technology. – М.: , 1982. – 272 с.
  35. Preparing Learners for e–Learning. – М.: , 2003. – 192 с.
  36. Preparing Learners for e–Learning. – М.: , 1987. – 116 с.
  37. RC SS KUTIE. Kutie I/m ?(tm)? For ?individualized Learning Guid Es? T/a The Wiley ?office Handbook? 2ed. – М.: , 1984. – 78 с.
  38. Brednan Jf Frey. Graphical Models for Machine Learning & Digital Communications. – М.: , 1998. – 220 с.
  39. Haibo He. Self–Adaptive Systems for Machine Intelligence. – М.: , 2011. – 240 с.
  40. Joaquin Quinone Quinonero–cande. Dataset Shift in Machine Learning. – М.: , 2009. – 248 с.
  41. Todd Kelshaw. Partnerships for Service–Learning. – М.: , 2009. – 336 с.
  42. Mj Kearns. The Computational Complexity of Machine Learning. – М.: , 1990. – 184 с.
  43. Shamsher Prakash. Foundations for Machines. – М.: , 1988. – 672 с.
  44. RS FORSYTH. Forsyth ?machine? Learning – Applications In Exper T Systems & Information Retrieval. – М.: , 1986. – 278 с.
  45. Mm Gullette. The Art & Craft of Teaching – Harvard– Danfor Cent for Teach & Learn. – М.: , 1984. – 144 с.
  46. ValuSource. Bizcomps Comparables Database 94 for DOS. – М.: , 1995. – 2 с.
  47. Francesco Bergadano. Inductive Logic Programming – From Machine Learning to Software Engineering. – М.: , 1996. – 256 с.
  48. Hojjat Adeli. Machine Learning. – М.: , 1994. – 212 с.
  49. Carl Edward Rasmussen. Gaussian Processes for Machine Learning. – М.: , 2006. – 272 с.
  50. A Roland. Strategic Computing – DARPA & the Quest for Machine Intelligence 1983–1993. – М.: , 2002. – 440 с.
  51. R SS KIBBE. Kibbe: Student ?workbook? For Machine ?tool? Pract Ices3ed (pr Only). – М.: , 1987. – 216 с.
  52. J Carbonell. Machine Learning – Paradigms and Methods. – М.: , 1990. – 400 с.
  53. Pierre Baldi. Bioinformatics – The Machine Learning Approach 2e (OI) (S). – М.: , 2001. – 400 с.
  54. Pierre Baldi. Bioinformatics – The Machine Learning Approach. – М.: , 1998. – 370 с.
  55. Mark'S Calculations For Machine Design. – М.: , 2005. – 445 с.
  56. Machine Learning. – М.: , 1997. – 0 с.
  57. Instructional Design For Action Learning. – М.: , 2011. – 272 с.
  58. Teaching For Quality Learning At University. – М.: , 2011. – 480 с.
  59. John S. White. Envisioning Machine Translation in the Information Future : 4th Conference of the Association for Machine Translation in the Americas, AMTA 2000 Cuernavaca, Mexico. – М.: Springer, 2000. – 254 с.
  60. 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.
  61. Mrutyunjaya Sahu. Prediction of Flow and its Resistance in Compound Open Channels. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  62. Harnen Sulistio. Prediction Models for Motorcycle Crashes at Intersections. – М.: LAP Lambert Academic Publishing, 2011. – 144 с.
  63. Asmatullah Chaudhry. Image Processing using Punctual Kriging and Machine Learning. – М.: LAP Lambert Academic Publishing, 2009. – 116 с.
  64. Jianwu Xu. Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space. – М.: LAP Lambert Academic Publishing, 2010. – 164 с.
  65. Rupinder Singh and Kamaljit Singh. APPLICATION OF CRYOGENIC TREATMENT FOR MACHINING COST REDUCTION. – М.: LAP Lambert Academic Publishing, 2010. – 64 с.
  66. Xue-Cheng Xi,Aun-Neow Poo and Geok-Soon Hong. Improving Contouring Accuracy in CNC Machines. – М.: LAP Lambert Academic Publishing, 2011. – 224 с.
  67. Rupinder Singh and Balpreet Singh Thind. PROCESS CAPABILITY OF RAPID MANUFACTURING FOR PLASTIC COMPONENTS. – М.: LAP Lambert Academic Publishing, 2010. – 76 с.
  68. Gonzalo Garcia. Decentralized Robust Nonlinear Model Predictive Control for UAS. – М.: LAP Lambert Academic Publishing, 2014. – 168 с.
  69. 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.
  70. Tufan Colak and Rami Qahwaji. AUTOMATED PREDICTION OF SOLAR FLARES. – М.: LAP Lambert Academic Publishing, 2010. – 128 с.
  71. Abdulrazak Otaru,Joseph Obofoni Odigure and Joseph Onyebuchi Okafor. Development of Predictive Model for Particulate Dispersion. – М.: LAP Lambert Academic Publishing, 2014. – 404 с.
  72. Abrar Muslim. Model-based and Model Predictive Control for Chlorine Dosing. – М.: LAP Lambert Academic Publishing, 2010. – 168 с.
  73. Vadim Rukavitsyn. Ecosystem Condition Modeling Using Machine Learning Tools. – М.: LAP Lambert Academic Publishing, 2015. – 132 с.
  74. Setu Kar. Comparing Prediction Accuracy For Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 124 с.
  75. Steven Candy. Predictive Models for Integrated Pest Management. – М.: LAP Lambert Academic Publishing, 2010. – 488 с.
  76. GAYANE MESCHYAN. Second Language Learning. – М.: LAP Lambert Academic Publishing, 2010. – 88 с.
  77. Guy Lebanon. Riemannian Geometry and Statistical Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 140 с.
  78. Dr Harpal Singh,Dr Hinna Bains and Dr Jasjit Kaur. The Hydrocolloids - A comparative Evaluation of Dimensional Accuracy. – М.: LAP Lambert Academic Publishing, 2011. – 72 с.
  79. Gutti Hari Prasad Rao and Bhuvan Saklecha. Moyer’s Mixed Dentition Prediction Tables For Hyderabad Population. – М.: LAP Lambert Academic Publishing, 2012. – 96 с.
  80. Mehmet Ergun Bicici. The Regression Model of Machine Translation. – М.: LAP Lambert Academic Publishing, 2011. – 172 с.
  81. Nataliia Semenenko. Diagnosis of Cross-Browser Compatibility Issues via Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  82. Aneta Trajanov. Machine learning in agroecology. – М.: LAP Lambert Academic Publishing, 2011. – 140 с.
  83. Sharad Shandilya. Machine Learning and Non-Linear Dynamics to the Rescue. – М.: Scholars' Press, 2013. – 88 с.
  84. Peihan Xiong. Evaluation of Various Numerical Methods of Option Pricing. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  85. Sureyya Ozogur Akyuz. Infinite Kernel Learning by Semi-infinte Optimization. – М.: LAP Lambert Academic Publishing, 2011. – 172 с.
  86. Mark Rossman. Automated Detection of Hematological Patterns Through Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 128 с.
  87. Jeffrey Steedle and Richard Shavelson. Models of Understanding in Newtonian Mechanics. – М.: LAP Lambert Academic Publishing, 2010. – 160 с.
  88. Tarcisio Mbogo,Elijah Omwenga and Peter Waiganjo. A Framework for Distributed Learning Objects Repository. – М.: LAP Lambert Academic Publishing, 2010. – 72 с.
  89. Bahaa Ibraheem Kazem and Muntaha Abdul Karim Jasim. BAGHDAD UNIVERSITY: THE IDEAL HEALTHY ENVIRONMENT FOR TECHNO–LEARNING. – М.: LAP Lambert Academic Publishing, 2010. – 76 с.
  90. Chrispen Chiome and Primrose Kurasha. Quality for E-learning. – М.: LAP Lambert Academic Publishing, 2011. – 176 с.
  91. Nor Azuana Ramli. Designing Early Warning System. – М.: LAP Lambert Academic Publishing, 2013. – 60 с.
  92. Farhana Shahid and Ubaid Ur Rahman. Detection Of Heart Disease Using Decision Tree Technique. – М.: LAP Lambert Academic Publishing, 2014. – 64 с.
  93. Zulkefli Mansor. Cost Estimation for Web-Based Application. – М.: LAP Lambert Academic Publishing, 2012. – 104 с.
  94. 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.
  95. Soumyajit Dey and Anupam Basu. Embedded Architectures for Speech and Machine Learning. – М.: LAP Lambert Academic Publishing, 2010. – 128 с.
  96. Divya Jain. Data Mining Approach for Healthcare Management of NCD`S. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  97. Sara Al-Ruzeiqi. Efficiency of Data Mining. – М.: LAP Lambert Academic Publishing, 2014. – 120 с.
  98. Fan Liu. A New Modeling for Knowledge Transfer in Machine Learning. – М.: LAP Lambert Academic Publishing, 2011. – 88 с.
  99. Tanzila Saba and Amjad Rehman. Machine Learning and Script Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 168 с.
  100. Manju Bala and R. K. Agrawal. Multiple Classifier Systems Analysis and Design. – М.: LAP Lambert Academic Publishing, 2012. – 128 с.
  101. 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.
  102. Mehmet ACI. DEVELOPMENT OF TWO HYBRID CLASSIFICATION METHODS FOR MACHINE LEARNING. – М.: LAP Lambert Academic Publishing, 2011. – 48 с.
  103. Jong Seo Lee and Alexander Dekhtyar. Recommender System for Audio Recordings. – М.: LAP Lambert Academic Publishing, 2011. – 84 с.
  104. Arpana Rawal,H. R. Sharma and Mahoj Kumar Kowar. Machine Learning for Text Document Relevance Ranking. – М.: LAP Lambert Academic Publishing, 2014. – 180 с.
  105. Kunwar Babar Ali. Quality Prediction using Machine Learning Technique(MLT). – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  106. Tigabu Dagne Akal. Constructing Predictive Model for Network Intrusion Detection. – М.: LAP Lambert Academic Publishing, 2012. – 160 с.
  107. DURSUN AKASLAN. A Model for Personalised Learning on the Internet. – М.: LAP Lambert Academic Publishing, 2009. – 68 с.
  108. Faicel Chamroukhi. Probabilistic Learning From Longitudinal Data. – М.: LAP Lambert Academic Publishing, 2011. – 252 с.
  109. Sanjay Gharde. Support Vector Machine for Handwritten Numeral Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  110. Ratnadip Adhikari and R. K. Agrawal. An Introductory Study on Time Series Modeling and Forecasting. – М.: LAP Lambert Academic Publishing, 2013. – 76 с.
  111. Peng Wang,Gopi Deshpande and Bogdan Wilamowski. Machine Learning Approaches for Disease State Classification. – М.: LAP Lambert Academic Publishing, 2013. – 60 с.
  112. 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.
  113. Thanh-Quang Chu. Agent-based models and machine learning in decision support systems. – М.: LAP Lambert Academic Publishing, 2015. – 208 с.
  114. Leonardo Rigutini. Automatic Text Processing: Machine Learning Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 148 с.
  115. Behzad Oskooi and Saeed Rahati Quchani. Improving Medical Data Classification Accuracy Using Ensemble methods. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  116. Kshitij Dhoble. Active Learning for Image Recognition and Retrieval. – М.: LAP Lambert Academic Publishing, 2011. – 128 с.
  117. Rajnish Kumar,Anju Sharma and Pritish Kumar Varadwaj. Machine Learning and Biological Data. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.
  118. Hyokyeong Lee. Oil Field Optimization. – М.: Scholars' Press, 2014. – 120 с.
  119. Sheetal Dabra and Sunil Agrawal. Identification of Handwritten Characters using Machine Learning. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  120. Maria Alexandra Rentroia-Bonito. Towards predictive models for e-learning. – М.: LAP Lambert Academic Publishing, 2014. – 236 с.
  121. Gidey Hailu Tesfay,Girma Tadesse and Semaw Ferede. Predictive Modeling for HIV Testing Using Data Mining techniques. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  122. Babak Loni. Enhanced Question Classification with Optimal Combination of Features. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  123. Nigel Struble. Measuring Glycemic Variability and Predicting Blood Glucose Levels. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  124. Jose Antonio Alija. RoboCup Soccer Training. – М.: LAP Lambert Academic Publishing, 2010. – 112 с.
  125. Bruno Woltzenlogel Paleo. Levenshtein Distance. – М.: LAP Lambert Academic Publishing, 2010. – 96 с.
  126. John Woodward. Program Induction, Complexity and Occam''s Razor. – М.: LAP Lambert Academic Publishing, 2010. – 156 с.
  127. Federico Divina. Genetic Relational Search for Inductive Concept Learning. – М.: LAP Lambert Academic Publishing, 2010. – 192 с.
  128. Ravinder Singh. Credit Risk Analytics: Predictive Modeling Techniques Comparison. – М.: LAP Lambert Academic Publishing, 2012. – 156 с.
  129. Ahmed Shamiri. Comparing the Accuracy Forecasts from Competing GARCH models. – М.: LAP Lambert Academic Publishing, 2010. – 200 с.
  130. Kunal Sharma. Strategic Architecture for E-learning: A Case Study of H.P. University. – М.: LAP Lambert Academic Publishing, 2011. – 348 с.
  131. Ismael Arciniegas Rueda. Explaining Currency Crises: A Statistical Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2010. – 472 с.
  132. European Commission European Commission and Directorate-General for Research and Innovation Director. Understanding and Mastering Coal Fired Ashes Geopolymerisation Process. – М.: Dictus Publishing, 2013. – 120 с.
  133. Jean-Marc Guillemette. Using Participatory Design for Workplace Learning. – М.: Scholars' Press, 2013. – 308 с.
  134. Ramlall Indranarain. Essentials For Effective Learning. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  135. Victor Boyarshinov. Machine Learning In Computational Finance. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  136. Saul Kornik. Machine Learning for Corporate Failure Prediction. – М.: LAP Lambert Academic Publishing, 2012. – 364 с.
  137. Nandireddy Rajasekhar Reddy. SQA Defect Prediction: An SVM Based In-Appendage Software Log Analysis. – М.: , 2015. – 176 с.
  138. Mostafa Omara,Amr Badr and Emad Nabil. Immunoinformatics. – М.: , 2015. – 116 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. 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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Ольга, 20.05
Марина Михайловна!!!Защитилась!!!!!!Не поверите, на 5+)))))) Так что спасибо еще раз!!!!!!!! Это Ваша заслуга!