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Лучшие результаты

  1. Handbook of Natural Language Processing, Second Edition (Chapman & Hall/Crc Machine Learning & Pattern Recognition). – М.: , 2010. – 704 с.
  2. Y. Anzai. Pattern Recognition & Machine Learning. – М.: , 2010. – 407 с.
  3. Shruti Gujral. Text Dependent Speaker Recognition: A Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2013. – 72 с.
  4. Zohra Saidane. Image and video text recognition using convolutional neural networks. – М.: LAP Lambert Academic Publishing, 2011. – 156 с.
  5. Yun Xu. Chemometrics pattern recognition methods. – М.: LAP Lambert Academic Publishing, 2012. – 268 с.
  6. Ritu Vijay. Time Series Analysis using Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 60 с.
  7. Haiqin Yang,Irwin King and Michael R. Lyu. Sparse Learning Under Regularization Framework. – М.: LAP Lambert Academic Publishing, 2011. – 152 с.
  8. Muna Elsadig Mohamed Ahmed Elsheik. Bio Inspired Intrusion Prevention and Self healing System for Networks. – М.: LAP Lambert Academic Publishing, 2012. – 256 с.
  9. Samir Desai. Real Time Pattern Recognition Algorithm. – М.: LAP Lambert Academic Publishing, 2011. – 72 с.
  10. Samir Desai. Stock Market Pattern Recognition Algorithm. – М.: LAP Lambert Academic Publishing, 2012. – 64 с.
  11. Sanjay Gharde. Support Vector Machine for Handwritten Numeral Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  12. Peng Wang,Gopi Deshpande and Bogdan Wilamowski. Machine Learning Approaches for Disease State Classification. – М.: LAP Lambert Academic Publishing, 2013. – 60 с.
  13. Rajani Kamath. Artificial Intelligence - The Basics. – М.: LAP Lambert Academic Publishing, 2014. – 220 с.
  14. Maciej Zieba. Multistage Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 84 с.
  15. Terje Kristensen,Vemund Jakobsen and Alvhild Alette Bjorkum. Data Clustering. – М.: LAP Lambert Academic Publishing, 2014. – 92 с.
  16. Suresh Veluru and Viswanath Pulabaigari. Scalable Non-Parametric Pattern Recognition Techniques for Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 116 с.
  17. JesterN A.K.A. Alberto Novello. From Invisible to Visible. – М.: LAP Lambert Academic Publishing, 2014. – 92 с.

Дополнительные результаты

  1. Laszlo Gyorfi. Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts). – М.: , 2012. – 250 с.
  2. Frontiers in Algorithmics and Algorithmic Aspects in Information and Management: Joint International Conference, FAW-AAIM 2012, Beijing, China, May ... Computer Science and General Issues). – М.: , 2012. – 400 с.
  3. Markov Networks in Evolutionary Computation (Adaptation, Learning, and Optimization). – М.: , 2012. – 264 с.
  4. Larry Pesavento. Profitable Patterns for Stock Trading. – М.: , 0. – 0 с.
  5. Richard A. McCormack. Lean Machines: Learning From the Leaders of the Next Industrial Revolution. – М.: , 0. – 0 с.
  6. M. I. Torres, Alberto Sanfeliu. Pattern Recognition and Applications. – М.: , 0. – 0 с.
  7. Chris Satchwell. Pattern Recognition and Trading Decisions (McGraw-Hill Trader's Edge). – М.: , 2004. – 0 с.
  8. 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.
  9. Handbook of Natural Language Processing, Second Edition (Chapman & Hall/Crc Machine Learning & Pattern Recognition). – М.: , 2010. – 704 с.
  10. 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.
  11. Alan Julian Izenman. Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics). – М.: , 2008. – 734 с.
  12. 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.
  13. Learning and Inference in Computational Systems Biology (Computational Molecular Biology). – М.: , 2010. – 400 с.
  14. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 524 с.
  15. Advances in Machine Learning II: Dedicated to the memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 532 с.
  16. Encyclopedia of Machine Learning. – М.: , 2010. – 1020 с.
  17. Balas K. Natarajan. Machine Learning. – М.: , 2010. – 217 с.
  18. Keinosuke Fukunaga. Introduction to Statistical Pattern Recognition. – М.: , 2010. – 592 с.
  19. Phiroz Bhagat. Pattern Recognition in Industry. – М.: , 2010. – 200 с.
  20. Cornelius T. Leondes. Image Processing and Pattern Recognition,5. – М.: , 2010. – 386 с.
  21. Omid Omidvar. Neural Networks and Pattern Recognition. – М.: , 2010. – 351 с.
  22. Y. Anzai. Pattern Recognition & Machine Learning. – М.: , 2010. – 407 с.
  23. Sergios Theodoridis. Introduction to Pattern Recognition: A Matlab Approach. – М.: , 2010. – 240 с.
  24. Katharina Morik. Knowledge Acquisition and Machine Learning. – М.: , 2010. – 305 с.
  25. Anke Meyer-Baese. Pattern Recognition in Medical Imaging. – М.: , 2010. – 448 с.
  26. Ryszard S. Michalski. Machine Learning. – М.: , 2010. – 572 с.
  27. Pradipta Maji. Rough–Fuzzy Pattern Recognition. – М.: , 2011. – 350 с.
  28. Ethem Alpaydin. Introduction to Machine Learning 2e (OISC). – М.: , 2010. – 584 с.
  29. Etham Alpaydin. Introduction to Machine Learning (OIP). – М.: , 2004. – 400 с.
  30. Tod F. Stuessy. Case Studies in Plant Taxonomy – Exercises in Applied Pattern Recognition (Pr Only). – М.: , 1994. – 188 с.
  31. Brednan Jf Frey. Graphical Models for Machine Learning & Digital Communications. – М.: , 1998. – 220 с.
  32. Joaquin Quinone Quinonero–cande. Dataset Shift in Machine Learning. – М.: , 2009. – 248 с.
  33. Donald Tveter. The Pattern Recognition Basis of Artificial Intelligence. – М.: , 1998. – 388 с.
  34. Mj Kearns. The Computational Complexity of Machine Learning. – М.: , 1990. – 184 с.
  35. RS FORSYTH. Forsyth ?machine? Learning – Applications In Exper T Systems & Information Retrieval. – М.: , 1986. – 278 с.
  36. Albert Nigrin. Neural Networks for Pattern Recognition. – М.: , 1993. – 436 с.
  37. Francesco Bergadano. Inductive Logic Programming – From Machine Learning to Software Engineering. – М.: , 1996. – 256 с.
  38. Hojjat Adeli. Machine Learning. – М.: , 1994. – 212 с.
  39. SK PAL. Pal: ?fuzzy? – Mathematical Approach To Pattern Recognition. – М.: , 1986. – 296 с.
  40. Gail A. Carpenter. Pattern Recognition by Self–Organising Neural Networks. – М.: , 1991. – 710 с.
  41. Carl Edward Rasmussen. Gaussian Processes for Machine Learning. – М.: , 2006. – 272 с.
  42. J Carbonell. Machine Learning – Paradigms and Methods. – М.: , 1990. – 400 с.
  43. Pierre Baldi. Bioinformatics – The Machine Learning Approach 2e (OI) (S). – М.: , 2001. – 400 с.
  44. Pierre Baldi. Bioinformatics – The Machine Learning Approach. – М.: , 1998. – 370 с.
  45. Machine Learning. – М.: , 1997. – 0 с.
  46. 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.
  47. Prashant Manohar Kakde and Vivek Ramkrishna Raut. Character Recognition : A Machine Intelligence Approach. – М.: LAP Lambert Academic Publishing, 2013. – 100 с.
  48. Muhammad Wasim and Abdulbasit Shaikh. Rasterstereography Based Partial Face Recognition. – М.: LAP Lambert Academic Publishing, 2014. – 64 с.
  49. Daniele Barchiesi. Dictionary Learning with Applications to Audio Signals. – М.: Scholars Press, 2014. – 196 с.
  50. Jianbo Yang. Feature selection and model selection in supervised learning. – М.: LAP Lambert Academic Publishing, 2015. – 160 с.
  51. Ved Prakash Agnihotri. Artificial Intelligence-New Approach to Character Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 80 с.
  52. Atul Rai. An Empirical Study of Periodic noise filtering in Fourier domain. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  53. Shruti Gujral. Text Dependent Speaker Recognition: A Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2013. – 72 с.
  54. Ajit Danti and Hiremath P. S. Face Detection & Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 140 с.
  55. Pramod Bhat. Stroke Analysis on CT Images: A Pattern Recognition Approach. – М.: LAP Lambert Academic Publishing, 2013. – 88 с.
  56. Arina Yusuf,Asrani Lit and Annisa Jamali. Car License Plate Recognition by Using Template Matching Algorithm. – М.: LAP Lambert Academic Publishing, 2014. – 76 с.
  57. Ashkan Hashemi. Machine Vision on FPGA for Recognition of Road Signs. – М.: LAP Lambert Academic Publishing, 2014. – 96 с.
  58. Kailash Karande and Sanjay Talbar. Face Recognition using Independent Component Analysis. – М.: LAP Lambert Academic Publishing, 2012. – 136 с.
  59. Asmatullah Chaudhry. Image Processing using Punctual Kriging and Machine Learning. – М.: LAP Lambert Academic Publishing, 2009. – 116 с.
  60. Alessandro Malatesta. Hardware architectures for HMM–based digital signal processing systems. – М.: LAP Lambert Academic Publishing, 2014. – 288 с.
  61. Surendra Ramteke and Nilima Patil. A Fuzzy Appraoch To Handwirtten Devanagari Character Recognition. – М.: LAP Lambert Academic Publishing, 2014. – 84 с.
  62. Gregg Buskey. Helicopter Automation: Learning from Human Demonstration. – М.: LAP Lambert Academic Publishing, 2011. – 256 с.
  63. Rakesh Verma and Anuj Goyal. Thumb Impression Recognition Using Wavelets Based Pattern Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 72 с.
  64. Angikar Sarkar and Samayita Ganguly. Translation Of Human Thoughts Into Machine Motion. – М.: LAP Lambert Academic Publishing, 2012. – 156 с.
  65. Mohammad A. Dabbah. Secure Biometric Face Recognition. – М.: LAP Lambert Academic Publishing, 2010. – 144 с.
  66. Armando Roman. Surface Partitioning for 3+2-axis Machining. – М.: LAP Lambert Academic Publishing, 2011. – 176 с.
  67. Soumen Mandal and Nagahanumaiah Nagahanumaiah. Dynamic health monitoring in micro turning process. – М.: LAP Lambert Academic Publishing, 2012. – 144 с.
  68. Zohra Saidane. Image and video text recognition using convolutional neural networks. – М.: LAP Lambert Academic Publishing, 2011. – 156 с.
  69. 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.
  70. 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.
  71. Varun Kumar Togiti. Pattern Recognition of Power System Voltage Stability. – М.: LAP Lambert Academic Publishing, 2012. – 96 с.
  72. Yun Xu. Chemometrics pattern recognition methods. – М.: LAP Lambert Academic Publishing, 2012. – 268 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. Uma Maheshwari and Santhosh Rebello. Soft Computing Methodologies for Cluster Analysis and Gene Prediction. – М.: LAP Lambert Academic Publishing, 2011. – 56 с.
  76. Deena Elsori. Monocyte NADPH Oxidase: Role of Pattern Recognition Receptors. – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  77. HAFIZI SHAFIIN. Pattern Recognition Of Cerebral Haemorrhage (CH)From CT Images. – М.: LAP Lambert Academic Publishing, 2009. – 100 с.
  78. Shobha Patil and Sanjay Pande. Effective Dimensionality Reduction in Pattern Recognition. – М.: LAP Lambert Academic Publishing, 2014. – 160 с.
  79. Guy Lebanon. Riemannian Geometry and Statistical Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 140 с.
  80. Gozde Ulutagay and Efendi Nasibov. Fuzzy Neighborhood-Based Clustering. – М.: LAP Lambert Academic Publishing, 2011. – 144 с.
  81. George Sakr. Defining Stochastic Inference To Improve Pattern Recognition. – М.: LAP Lambert Academic Publishing, 2013. – 152 с.
  82. Dongzhe Wang. HIV-Associated Neuropathic Pain Classification of MRI Brain Images. – М.: LAP Lambert Academic Publishing, 2014. – 76 с.
  83. Guzman Santafe. Advances in Supervised and Unsupervised Learning of Bayesian Networks. – М.: LAP Lambert Academic Publishing, 2010. – 224 с.
  84. Iuliana Iatan. STATISTICAL METHODS FOR PATTERN RECOGNITION. – М.: LAP Lambert Academic Publishing, 2010. – 176 с.
  85. Md. Ehsanul Karim. Fuzzy C-means Clustering using Pattern Recognition. – М.: LAP Lambert Academic Publishing, 2011. – 68 с.
  86. Nataliia Semenenko. Diagnosis of Cross-Browser Compatibility Issues via Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  87. Aneta Trajanov. Machine learning in agroecology. – М.: LAP Lambert Academic Publishing, 2011. – 140 с.
  88. Alexey Miasnikov. Pattern Recognition and the Whitehead Minimization Problem. – М.: LAP Lambert Academic Publishing, 2010. – 152 с.
  89. Jose Pacheco. A Comparative Study for the Handwritten Digit Recognition Problem. – М.: LAP Lambert Academic Publishing, 2011. – 60 с.
  90. Sharad Shandilya. Machine Learning and Non-Linear Dynamics to the Rescue. – М.: Scholars' Press, 2013. – 88 с.
  91. Adalat K. Kerimov and Ulviyya Sh. Rzayeva. Relations between pattern structure and syntax of natural language. – М.: LAP Lambert Academic Publishing, 2012. – 72 с.
  92. Sureyya Ozogur Akyuz. Infinite Kernel Learning by Semi-infinte Optimization. – М.: LAP Lambert Academic Publishing, 2011. – 172 с.
  93. Jeremiah Suryatenggara. Image Recognition System Based on Pattern Recognition. – М.: LAP Lambert Academic Publishing, 2011. – 132 с.
  94. Ali Isin and Dogan Ibrahim. Using Neural Networks for the Recognition of Cardiac ECG Signals. – М.: LAP Lambert Academic Publishing, 2013. – 100 с.
  95. Devasrita U. Samal and Mehul R. Chorawala. PATTERN RECOGNITION RECEPTORS. – М.: LAP Lambert Academic Publishing, 2012. – 196 с.
  96. Mark Rossman. Automated Detection of Hematological Patterns Through Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 128 с.
  97. Sushma Jaiswal. Automatic 3D Face Recognition And Modeling From 2D Images. – М.: LAP Lambert Academic Publishing, 2011. – 208 с.
  98. Anand Kumar M. Tamil Linguistic Tools and English-Tamil Machine Translation System. – М.: LAP Lambert Academic Publishing, 2014. – 300 с.
  99. Wenyin Liu and Dov Dori. Algorithms for 2D Engineering Drawings Recognition. – М.: LAP Lambert Academic Publishing, 2014. – 88 с.
  100. Asmaa M. J. Agha and Loay E. George. Palm Veins Recognition and Verification System. – М.: LAP Lambert Academic Publishing, 2014. – 120 с.
  101. Ritu Vijay. Time Series Analysis using Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 60 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. Biniam Asnake and Girma Aweke. Optical Character Recognition Based Retrieval. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  107. Maryam Jafari,Farzad Soleymani and Shahram Jamali. Mining User Navigation Patterns from Web Access Log Files. – М.: LAP Lambert Academic Publishing, 2013. – 144 с.
  108. Haiqin Yang,Irwin King and Michael R. Lyu. Sparse Learning Under Regularization Framework. – М.: LAP Lambert Academic Publishing, 2011. – 152 с.
  109. Fan Liu. A New Modeling for Knowledge Transfer in Machine Learning. – М.: LAP Lambert Academic Publishing, 2011. – 88 с.
  110. Tanzila Saba and Amjad Rehman. Machine Learning and Script Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 168 с.
  111. 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.
  112. Mehmet ACI. DEVELOPMENT OF TWO HYBRID CLASSIFICATION METHODS FOR MACHINE LEARNING. – М.: LAP Lambert Academic Publishing, 2011. – 48 с.
  113. Muna Elsadig Mohamed Ahmed Elsheik. Bio Inspired Intrusion Prevention and Self healing System for Networks. – М.: LAP Lambert Academic Publishing, 2012. – 256 с.
  114. Samir Desai. Real Time Pattern Recognition Algorithm. – М.: LAP Lambert Academic Publishing, 2011. – 72 с.
  115. Samir Desai. Stock Market Pattern Recognition Algorithm. – М.: LAP Lambert Academic Publishing, 2012. – 64 с.
  116. Kunwar Babar Ali. Quality Prediction using Machine Learning Technique(MLT). – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  117. Alok Sharma. Statistical Models for Pattern Analysis. – М.: LAP Lambert Academic Publishing, 2012. – 220 с.
  118. Sanjay Gharde. Support Vector Machine for Handwritten Numeral Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  119. Peng Wang,Gopi Deshpande and Bogdan Wilamowski. Machine Learning Approaches for Disease State Classification. – М.: LAP Lambert Academic Publishing, 2013. – 60 с.
  120. 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.
  121. Thanh-Quang Chu. Agent-based models and machine learning in decision support systems. – М.: LAP Lambert Academic Publishing, 2015. – 208 с.
  122. Leonardo Rigutini. Automatic Text Processing: Machine Learning Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 148 с.
  123. Kshitij Dhoble. Active Learning for Image Recognition and Retrieval. – М.: LAP Lambert Academic Publishing, 2011. – 128 с.
  124. Rajnish Kumar,Anju Sharma and Pritish Kumar Varadwaj. Machine Learning and Biological Data. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.
  125. Rajani Kamath. Artificial Intelligence - The Basics. – М.: LAP Lambert Academic Publishing, 2014. – 220 с.
  126. Ganapatsingh Rajput and Shankar Mali. Handwritten Marathi Numeral Recognition. – М.: LAP Lambert Academic Publishing, 2011. – 100 с.
  127. Sheetal Dabra and Sunil Agrawal. Identification of Handwritten Characters using Machine Learning. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  128. Maciej Zieba. Multistage Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 84 с.
  129. Matheel Emaduldeen AL-Dargazly. The Principles of Machine Vision. – М.: LAP Lambert Academic Publishing, 2012. – 168 с.
  130. Terje Kristensen,Vemund Jakobsen and Alvhild Alette Bjorkum. Data Clustering. – М.: LAP Lambert Academic Publishing, 2014. – 92 с.
  131. Sokyna Al-Qatawneh. 3D Facial Feature Extraction and Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 196 с.
  132. Vasileios Lampos. Pattern Discovery in the Social Web with Artificial Intelligence. – М.: LAP Lambert Academic Publishing, 2012. – 220 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. 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. JesterN A.K.A. Alberto Novello. From Invisible to Visible. – М.: LAP Lambert Academic Publishing, 2014. – 92 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. E-learning - противоядие от рутины. О. Сизова, "Расчет", № 10, октябрь 2008.

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Если Вам интересно, то я сегодня защитился на отлично. Спасибо Вам большое за консультацию и за помощь.