Результаты поиска

Лучшие результаты

1. Laszlo Gyorfi. Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts). – М.: , 2012. – 250 с.
   
2. Victor Boyarshinov. Machine Learning In Computational Finance. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
   

Дополнительные результаты

1. Laszlo Gyorfi. Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts). – М.: , 2012. – 250 с.
   
2. Alexander C.K. Kirsch. Intellectual Property Securitization: Alternative Funding Source in Corporate Finance. – М.: , 2012. – 160 с.
   
3. Rose-Marie Belle Antoine. Confidentiality in Offshore Finance Law. – М.: , 0. – 0 с.
   
4. Don Aslett. Everything I Needed to Know About Business I Learned in the Barnyard. – М.: , 0. – 0 с.
   
5. Tachi Kiuchi, Bill Shireman, William K. Shireman. What We Learned in the Rainforest: Business Lessons from Nature. – М.: , 0. – 0 с.
   
6. Abdol S. Soofi, Liangyue Cao. Modelling and Forecasting Financial Data: Techniques of Nonlinear Dynamics (Studies in Computational Finance, Volume 2). – 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. Anders Blomstermo, D. Deo Sharma. Learning in the Internationalisation Process of Firms (New Horizons in International Business). – М.: , 0. – 0 с.
   
9. Kevin L. Hoag. Skill Development for Engineers: An Innovative Model for Advanced Learning in the Workplace. – М.: , 0. – 0 с.
   
10. Lila B. Stair, Leslie Stair. Careers in Computers, Third Edition. – М.: , 0. – 0 с.
    
11. Lila B. Stair, Leslie Stair. Careers in Computers, Third Edition. – М.: , 0. – 0 с.
    
12. William D. Coplin, Bill Coplin. 10 Things Employers Want You to Learn in College: The Know-How You Need to Succeed. – М.: , 0. – 0 с.
    
13. Barbara Jacoby, Associates. Service-Learning in Higher Education : Concepts and Practices (Jossey-Bass Higher and Adult Education Series). – М.: , 0. – 0 с.
    
14. Hans M. Amman, Berc Rustem, Andrew Whinston, Hans Amman. Computational Approaches to Economic Problems (Advances in Computational Economics, Vol. 6). – М.: , 0. – 0 с.
    
15. Ephraim Clark. International Finance (The Chapman & Hall Series in Accounting & Finance). – М.: , 0. – 0 с.
    
16. Drew Fudenberg, David K. Levine. The Theory of Learning in Games (Economic Learning and Social Evolution). – М.: , 0. – 0 с.
    
17. Paul Wilmott, Henrik Rasmussen, Paul Wilmott. New Directions in Mathematical Finance. – М.: , 0. – 0 с.
    
18. Cornelis A. Los, Cornelis A Los. Computational Finance. – М.: , 0. – 0 с.
    
19. Leonard Seabrooke. US Power in International Finance : The Victory of Dividends (International Political Economy Series). – М.: , 0. – 0 с.
    
20. Richard A. McCormack. Lean Machines: Learning From the Leaders of the Next Industrial Revolution. – М.: , 0. – 0 с.
    
21. David A. Garvin. Learning in Action: A Guide to Putting the Learning Organization to Work. – М.: Harvard Business Press, 2003. – 256 с.
    
22. Archie A. Silver, Rosa A. Hagin. Disorders of Learning in Childhood. – М.: , 0. – 0 с.
    
23. Stephen J. Silverman, Catherine D. Ennis. Student Learning in Physical Education: Applying Research to Enhance Instruction. – М.: , 0. – 0 с.
    
24. Marvin V. Zelkowitz. Advances in Computers, Volume 53: Emphasizing Distributed Systems. – М.: , 0. – 0 с.
    
25. Recent Developments In Corporate Finance (Elgar Reference Collection). – М.: , 2005. – 0 с.
    
26. Rudiger U. Seydel. Tools for Computational Finance (Universitext). – М.: , 2003. – 0 с.
    
27. Lifelong Learning in the Digital Age : Sustainable for All in a Changing World (IFIP International Federation for Information Processing). – М.: , 2004. – 0 с.
    
28. Advances in Computers, Volume 60 : Information Security (Advances in Computers). – М.: , 2004. – 340 с.
    
29. Computer-Supported Collaborative Learning in Higher Education. – М.: , 2004. – 322 с.
    
30. Advances in Behavioral Finance, Volume II (The Roundtable Series in Behavioral Economics). – М.: , 2005. – 728 с.
    
31. Gerard Cornuejols, Reha Tutuncu. Optimization Methods in Finance (Mathematics, Finance and Risk). – М.: , 2007. – 358 с.
    
32. Kelly Perdew. Take Command: 10 Leadership Principles I Learned in the Military and Put to Work for Donald Trump. – М.: , 2006. – 211 с.
    
33. Steven E. Shreve. Stochastic Calculus Models for Finance: Continuous Time Models. – М.: Springer, 2004. – 576 с.
    
34. Judy S. Richardson, Raymond F. Morgan, Charlene Fleener. Reading to Learn in the Content Areas (with CD-ROM and InfoTrac ). – М.: , 2005. – 528 с.
    
35. Florence Fay Pritchard, III, George I. Whitehead. Serve and Learn: Implementing and Evaluating Service-learning in Middle and High Schools. – М.: , 2004. – 274 с.
    
36. Ian MacKenzie. Professional English in Use: Finance. – М.: Cambridge University Press, 2007. – 144 с.
    
37. Pablo Gottret, George Schieber, Hugh R. Waters. Good Practices in Health Financing. – М.: , 2008. – 473 с.
    
38. Janet R Batsleer. Informal Learning in Youth Work. – М.: , 2008. – 208 с.
    
39. 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.
    
40. Algorithmic Aspects in Information and Management: 4th International Conference, AAIM 2008, Shanghai, China, June 23-25, 2008, Proceedings (Lecture Notes in Computer Science). – М.: , 2008. – 350 с.
    
41. 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.
    
42. Anthony Brabazon. Natural Computing in Computational Finance: Volume 2 (Studies in Computational Intelligence). – М.: , 2009. – 250 с.
    
43. Handbook of Natural Language Processing, Second Edition (Chapman & Hall/Crc Machine Learning & Pattern Recognition). – М.: , 2010. – 704 с.
    
44. Corporation Essvale. Business Knowledge for IT in Islamic Finance. – М.: , 2010. – 194 с.
    
45. 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.
    
46. Brian Kettell. Frequently Asked Questions in Islamic Finance (Wiley Finance). – М.: , 2010. – 334 с.
    
47. James Hite. Jr. Learning in Chaos. – М.: , 2010. – 300 с.
    
48. Karl M. Kapp. Learning in 3D. – М.: , 2010. – 416 с.
    
49. Paul Wilmott. Frequently Asked Questions in Quantitative Finance. – М.: Wiley, 2009. – 624 с.
    
50. Manny Rayner, Beth Ann Hockey, Pierrette Bouillon. Putting Linguistics into Speech Recognition: The Regulus Grammar Compiler (Studies in Computational Linguistics (Stanford, Calif.).). – М.: , 2006. – 320 с.
    
51. Innovations and Advances in Computer Sciences and Engineering. – М.: , 2010. – 400 с.
    
52. Computational Science and Its Applications - ICCSA 2008: International Conference, Perugia, Italy, June 30 - July 3, 2008, Proceedings, Part II (Lecture Notes in Computer Science). – М.: , 2008. – 1280 с.
    
53. Evolutionary Algorithms and Chaotic Systems (Studies in Computational Intelligence). – М.: , 2010. – 560 с.
    
54. Graph-Theoretic Concepts in Computer Science: 35th International Workshop, WG 2009, Montpellier, France, June 24-26, 2009, Revised Papers (Lecture Notes ... Computer Science and General Issues). – М.: , 2010. – 353 с.
    
55. 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.
    
56. Reiner Onken, Axel Schulte. System-Ergonomic Design of Cognitive Automation: Dual-Mode Cognitive Design of Vehicle Guidance and Control Work Systems (Studies in Computational Intelligence). – М.: , 2010. – 384 с.
    
57. Learning and Inference in Computational Systems Biology (Computational Molecular Biology). – М.: , 2010. – 400 с.
    
58. Brain-Inspired Information Technology (Studies in Computational Intelligence). – М.: , 2010. – 182 с.
    
59. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 524 с.
    
60. Advances in Machine Learning II: Dedicated to the memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 532 с.
    
61. From Motor Learning to Interaction Learning in Robots (Studies in Computational Intelligence). – М.: , 2010. – 540 с.
    
62. Encyclopedia of Machine Learning. – М.: , 2010. – 1020 с.
    
63. Arithmetic and Logic in Computer Systems. – М.: , 2004. – 246 с.
    
64. Relations and Kleene Algebra in Computer Science: 11th International Conference on Relational Methods in Computer Science, RelMiCS 2009, and 6th International ... Computer Science and General Issues). – М.: , 2010. – 367 с.
    
65. Alexander Clark. Linguistic Nativism and the Poverty of the Stimulus. – М.: , 2011. – 272 с.
    
66. Marvin Zelkowitz. Advances in Computers,75. – М.: , 2010. – 360 с.
    
67. S. Bittanti. Adaptation and Learning in Control and Signal Processing 2001. – М.: , 2010. – 502 с.
    
68. Robert L Cross. Strategic Learning in a Knowledge Economy. – М.: , 2010. – 368 с.
    
69. Ralph A. Wheeler. Annual Reports in Computational Chemistry,5. – М.: , 2010. – 216 с.
    
70. Marvin Zelkowitz. Advances in Computers,77. – М.: , 2010. – 372 с.
    
71. Marvin Zelkowitz. Advances in Computers,76. – М.: , 2010. – 0 с.
    
72. Marvin Zelkowitz. Advances in Computers,44. – М.: , 2010. – 400 с.
    
73. Balas K. Natarajan. Machine Learning. – М.: , 2010. – 217 с.
    
74. George Levy. Computational Finance Using C and C#. – М.: , 2010. – 384 с.
    
75. Luiz Velho. Mathematical Optimization in Computer Graphics and Vision. – М.: , 2010. – 304 с.
    
76. Marvin Zelkowitz. Advances in Computers,68. – М.: , 2010. – 334 с.
    
77. David C. Spellmeyer. Annual Reports in Computational Chemistry 2,2. – М.: , 2010. – 346 с.
    
78. Marvin Zelkowitz. Advances in Computers,63. – М.: , 2010. – 312 с.
    
79. David C. Spellmeyer. Annual Reports in Computational Chemistry,1. – М.: , 2010. – 263 с.
    
80. Marvin Zelkowitz. Advances in Computers,57. – М.: , 2010. – 332 с.
    
81. Marvin Zelkowitz. Advances in Computers,59. – М.: , 2010. – 320 с.
    
82. A.K. Makhija. Recent Issues in Corporate Finance and Investments,5. – М.: , 2010. – 0 с.
    
83. Y. Anzai. Pattern Recognition & Machine Learning. – М.: , 2010. – 407 с.
    
84. George Levy. Computational Finance Set. – М.: , 2010. – 840 с.
    
85. Marvin Zelkowitz. Advances in Computers,64. – М.: , 2010. – 340 с.
    
86. Marvin Zelkowitz. Advances in Computers,58. – М.: , 2010. – 392 с.
    
87. Katharina Morik. Knowledge Acquisition and Machine Learning. – М.: , 2010. – 305 с.
    
88. Ralph A. Wheeler. Annual Reports in Computational Chemistry,6. – М.: , 2010. – 320 с.
    
89. Marvin Zelkowitz. Advances in Computers,80. – М.: , 2010. – 342 с.
    
90. Marvin Zelkowitz. Advances in Computers,72. – М.: , 2010. – 368 с.
    
91. Marvin Zelkowitz. Advances in Computers,73. – М.: , 2010. – 312 с.
    
92. George Levy. Computational Finance. – М.: , 2010. – 456 с.
    
93. Marvin Zelkowitz. Advances in Computers,55. – М.: , 2010. – 320 с.
    
94. JOHNSON. ADVANCES IN ARTIFICIAL INTELLIGENCE IN ECONOMICS, FINANCE ANDMANAGEMENT VOLUME 1Advances in Artificial Intelligence in (AAIE). – М.: , 2010. – 0 с.
    
95. H.O. Villar. Advances in Computational Biology, Volume 1,1. – М.: , 2010. – 0 с.
    
96. Ralph A. Wheeler. Annual Reports in Computational Chemistry,4. – М.: , 2010. – 272 с.
    
97. Ryszard S. Michalski. Machine Learning. – М.: , 2010. – 572 с.
    
98. Marvin Zelkowitz. Advances in Computers,71. – М.: , 2010. – 350 с.
    
99. Joaquin Quinone Quinonero–cande. Dataset Shift in Machine Learning. – М.: , 2009. – 248 с.
    
100. Mj Kearns. The Computational Complexity of Machine Learning. – М.: , 1990. – 184 с.
     
101. RW LAWLER. Lawler Computer Experience & ?cognitive? Developme Nt –a Child?s Learning In A Computer Cult. – М.: , 1985. – 276 с.
     
102. RS FORSYTH. Forsyth ?machine? Learning – Applications In Exper T Systems & Information Retrieval. – М.: , 1986. – 278 с.
     
103. RW LAWLER. Lawler Computer Experience & ?cognitive? Developme Nt –a Child?s Learning In A Computer Cult. – М.: , 1985. – 276 с.
     
104. Machine Learning. – М.: , 1997. – 0 с.
     
105. 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.
     
106. Suresh Jagirdar. Artificial Neural Networks, A Modern Era In Computing. – М.: LAP Lambert Academic Publishing, 2014. – 84 с.
     
107. Asmatullah Chaudhry. Image Processing using Punctual Kriging and Machine Learning. – М.: LAP Lambert Academic Publishing, 2009. – 116 с.
     
108. Mubichakani Joseph Mukuyuni. Computer Based Learning In Mathematics. – М.: LAP Lambert Academic Publishing, 2012. – 112 с.
     
109. 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.
     
110. Yugandhar K jwala. Acquiring Communicative Abilities in Computer-Supported Class. – М.: LAP Lambert Academic Publishing, 2010. – 152 с.
     
111. 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.
     
112. Vadim Rukavitsyn. Ecosystem Condition Modeling Using Machine Learning Tools. – М.: LAP Lambert Academic Publishing, 2015. – 132 с.
     
113. Guy Lebanon. Riemannian Geometry and Statistical Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 140 с.
     
114. Nataliia Semenenko. Diagnosis of Cross-Browser Compatibility Issues via Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
     
115. Aneta Trajanov. Machine learning in agroecology. – М.: LAP Lambert Academic Publishing, 2011. – 140 с.
     
116. Sharad Shandilya. Machine Learning and Non-Linear Dynamics to the Rescue. – М.: Scholars' Press, 2013. – 88 с.
     
117. Mark Rossman. Automated Detection of Hematological Patterns Through Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 128 с.
     
118. Kati Makitalo-Siegl. Interaction in Online Learning Environments. – М.: LAP Lambert Academic Publishing, 2009. – 120 с.
     
119. Chang Zhu. E-learning in higher education: a cross-cultural perspective. – М.: LAP Lambert Academic Publishing, 2010. – 208 с.
     
120. Glenn Wilkinson. Identification of Hostile TCP Traffic using Support Vector Machines. – М.: LAP Lambert Academic Publishing, 2010. – 80 с.
     
121. Chakchai So-In. Resource Allocation and Management in Computer Networks. – М.: LAP Lambert Academic Publishing, 2011. – 212 с.
     
122. 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.
     
123. Soumyajit Dey and Anupam Basu. Embedded Architectures for Speech and Machine Learning. – М.: LAP Lambert Academic Publishing, 2010. – 128 с.
     
124. Fan Liu. A New Modeling for Knowledge Transfer in Machine Learning. – М.: LAP Lambert Academic Publishing, 2011. – 88 с.
     
125. Tanzila Saba and Amjad Rehman. Machine Learning and Script Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 168 с.
     
126. 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.
     
127. Mehmet ACI. DEVELOPMENT OF TWO HYBRID CLASSIFICATION METHODS FOR MACHINE LEARNING. – М.: LAP Lambert Academic Publishing, 2011. – 48 с.
     
128. Kunwar Babar Ali. Quality Prediction using Machine Learning Technique(MLT). – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
     
129. 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.
     
130. Muthukrishnan H. Deployed e-learning in Public Cloud. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
     
131. Thanh-Quang Chu. Agent-based models and machine learning in decision support systems. – М.: LAP Lambert Academic Publishing, 2015. – 208 с.
     
132. Leonardo Rigutini. Automatic Text Processing: Machine Learning Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 148 с.
     
133. Rajnish Kumar,Anju Sharma and Pritish Kumar Varadwaj. Machine Learning and Biological Data. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.
     
134. Sheetal Dabra and Sunil Agrawal. Identification of Handwritten Characters using Machine Learning. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
     
135. Ismael Arciniegas Rueda. Explaining Currency Crises: A Statistical Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2010. – 472 с.
     
136. Elham Fariborzi and Prof. Dr. Kamariah Abu Baker. E-Learning in Iran: Looking at Effectiveness. – М.: LAP Lambert Academic Publishing, 2011. – 344 с.
     
137. Mehmet Ozcan. Computer Based Learning in Higher Education. – М.: LAP Lambert Academic Publishing, 2012. – 64 с.
     
138. Victor Boyarshinov. Machine Learning In Computational Finance. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
     
139. Saul Kornik. Machine Learning for Corporate Failure Prediction. – М.: LAP Lambert Academic Publishing, 2012. – 364 с.
     
140. Kevin P. Murphy. Machine Learning: A Probabilistic Perspective. – М.: The MIT Press, 2012. – 1104 с.
     

Лучшие результаты

Дополнительные результаты

1. Наука человековедения. интервью с Д. Уолтоном, профессором London Metropolitan University, экспертом CIPD. Chartered Institute of Personnel and Development, автором программы Master of Arts in Human Resource Strategies. И. Смирнова, "Кадровый менеджмент", № 5, июль-август 2007.
2. Необходимые и достаточные условия e-learning. М. Удовиченко, "Финансовая газета. Региональный выпуск", № 45, ноябрь 2004.
3. Commercial Finance и современные технологии факторинга. М.В. Леднев, "Банковское кредитование", N 5, сентябрь-октябрь 2012 г.
4. Регулирование операций торгового финансирования: новые инициативы. интервью с Д. Шмандом, вице-председателем Банковской комиссии ICC по supply chain finance, главой подразделения Trade Finance and Cash Management Corporates EMEA в Global Transaction Banking. GTB division Deutsche Bank. Н. Макарова, "Международные банковские операции", N 2, апрель-июнь 2012 г.
5. Новации в международной торговле: Supply Chain Finance. В.Г. Брюков, "Международные банковские операции", N 2, апрель-июнь 2011 г.
6. Trade-in как способ обмена автомобиля. С.Н. Гордеева, "Торговля: бухгалтерский учет и налогообложение", N 2, февраль 2011 г.
7. Индустрия Commercial Finance: мировой опыт и перспективы развития в России. М.В. Леднев, "Банковское кредитование", N 6, ноябрь-декабрь 2010 г.
8. Проблемы применения универсальной юрисдикции in absentia. Г.А. Королев, "Журнал российского права", № 10, октябрь 2009.
9. Тонкости trade-in. С.А.Королев, "НДС. Проблемы и решения", № 8, август 2009.
10. Supply Chain Finance: финансирование торгового цикла в одном "окне". Д.А. Николаевская, "Факторинг и торговое финансирование", № 2, II квартал 2009.
11. Факторинг как элемент индустрии Commercial Finance. Д.Е. Колобанов, "Факторинг и торговое финансирование", № 1, I квартал 2009.
12. In-store banking - новая модель банковского бизнеса. А. Пятков, "Банковское обозрение", № 11, ноябрь 2008.
13. E-learning - противоядие от рутины. О. Сизова, "Расчет", № 10, октябрь 2008.