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1 - 10 of 58
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Frontiers of intelligent autonomous systems Lee S., Yoon K., Lee J., Springer Publishing Company, Incorporated, Heidelberg, Germany, 2013. 422 pp. Type: Book (978-3-642354-84-7)
Someday soon there will be things (besides people and pets) that move about in, and manipulate, our environment, without our supervision or control. Such devices exist in laboratories and some are already in service in medical, militar...
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May 16 2013 |
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Agent cooperation within adversarial teams in dynamic environment -- key issues and development trends Dzieńkowski B., Markowska-Kaczmar U. In Transactions on Compuational Collective Intelligence VI. Berlin, Germany: Springer-Verlag, 2012. Type: Book Chapter
Intelligent systems continue to evolve into behavior models of increasingly complex situations. Now, they involve multiple agents working cooperatively as a team in competition with other teams of multiple agents. As such, they begin t...
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Nov 20 2012 |
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Ensemble machine learning: methods and applications Zhang C., Ma Y., Springer Publishing Company, Incorporated, New York, NY, 2012. 337 pp. Type: Book (978-1-441993-25-0)
Many machine learning algorithms, such as neural nets, support vector machines, decision trees, Bayesian networks, clustering, hidden Markov models, and temporal difference learning, have been devised and used to discover patterns in d...
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Jul 10 2012 |
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Including cognitive biases and distance-based rewards in a connectionist model of complex problem solving Dandurand F., Shultz T., Rey A. Neural Networks 2541-56, 2012. Type: Article
Dandurand et al. have devised a computational model, and a way to train it, that better matches human performance on learning a certain problem-solving task than their previous model. The problem to be solved is to find which of 12 ite...
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Mar 1 2012 |
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Sparse conjugate directions pursuit with application to fixed-size kernel models Karsmakers P., Pelckmans K., Brabanter K., Hamme H., Suykens J. Machine Learning 85(1-2): 109-148, 2011. Type: Article
While the conjugate gradient method is a popular iterative approach to solving large sparse linear systems, it is not biased to find good sparse solutions. This paper presents a variant called sparse conjugate directions pursuit (SCDP)...
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Feb 6 2012 |
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Interactive multi-modal question-answering van den Bosch A., Bouma G., Springer Publishing Company, Incorporated, New York, NY, 2011. 304 pp. Type: Book (978-3-642175-24-4)
Researchers in broad disciplines such as natural language processing usually conduct their research by breaking the general problem down into many small problems. A researcher can make a career out of solving a few of these small probl...
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Aug 18 2011 |
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Computing intensional answers to questions--an inductive logic programming approach Cimiano P., Rudolph S., Hartfiel H. Data & Knowledge Engineering 69(3): 261-278, 2010. Type: Article
Ordinary database systems answer a query by listing the items that satisfy the query. They can be more helpful, however, if they can point out regularities in the data that was examined while answering the query. In this paper, the aut...
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Sep 29 2010 |
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AALIANCE ambient assisted living roadmap van den Broek G., Cavallo F., Wehrmann C., IOS PRESS, Amsterdam, the Netherlands, 2010. 136 pp. Type: Book (978-1-607504-98-6)
Just like most of the rest of the world, Europe anticipates that the elderly and disabled portion of its population will grow in the near future. The need to provide assistance to these citizens to improve their quality of life has giv...
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Aug 5 2010 |
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Playing games with approximation algorithms Kakade S., Kalai A., Ligett K. SIAM Journal on Computing 39(3): 1088-1106, 2009. Type: Article
Suppose a delivery truck visits the same customers every day, but traffic conditions are unknown and vary. What is the best route for the truck to take? This is one (briefly mentioned) example of the kind of problem addressed by this p...
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Jun 16 2010 |
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Committee machines for facial-gender recognition Raafat H., Tolba A., Shaddad E. International Journal of Hybrid Intelligent Systems 6(1): 41-51, 2009. Type: Article
Machine learning technologies inspired by neural networks are likely to be most useful when modeling difficult-to-code tasks, such as gender recognition based on facial images. This paper summarizes some recent experiments with one suc...
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Oct 20 2009 |
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