Jesús Cerquides (64 publications)
2005
" TAN Classifiers Based on Decomposable Distributions",
Machine Learning Journal, vol. 59, issue 1, pp. 323-354, 2005.
"Auctioning substitutable goods",
Frontiers in Artificial intelligence and Applications., vol. 131: IOS Press, pp. 381 - 388, 2005.
Abstract
Improved Algorithms for Learning Bayesian Netwok Classifiers,
: IIIA - CSIC, 2005.
Abstract
"Multi-unit combinatorial auctions with transformability relationships among goods",
Lecture Notes in Computer Science, vol. 3828: Springer-Verlag, pp. 858 - 867, 2005.
Abstract
"Multi-Unit combinatorial reverse auctions with substitutability relationships among goods",
Networking and electronic commerce research conference. NAEC-2005: on line, pp. 324 - 337, 2005.
Abstract
"Robust Bayesian Linear Classifier Ensembles",
Lecture Notes in Computer Science, vol. 3720: Springer-Verlag, pp. 72 - 83, 2005.
Abstract
2004
"Maximum a posteriori tree augmented naive bayes classifiers",
Lecture Notes in Artificial Intelligence, vol. 3245: Springer-Verlag, pp. 73-88, 2004.
Abstract
"Towards automated procurement via agent-aware nogotiation support",
AAMAS 2004. 3rd. International joint conference on autonomous agents and multiagent systems, vol. I: ACM, pp. 244-251, 2004.
Abstract
2003
"Agent based decision support for actual-world procurement scenarios",
2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 13-17 October 2003, Halifax, Canada: IEEE Computer Society, pp. 371-377, 2003.
Abstract
Improving bayesian networks classifiers,
: Universitat Politecnica de Catalunya, 2003.
"Negotiation support in highly-constrained trading scenarios",
Lecture notes in computer science. Lecture notes in Artificial intelligence, vol. 3040: Springer, pp. 425-434, 2003.
Abstract
"The indifferent Naive Bayes classifier",
FLAIRS´03 Recent Advances in Artificial Intelligence: Proceedings of the Sixteenth International Flairs Conference: AAAI Press, pp. 341-345, 2003.
Abstract
"Tractable Bayesian learning of tree augmented Naive Bayes models",
Proceedings of the Twentieth International Conference on Machine Learning, ICML-2003: AAAI Press, pp. 75-82, 2003.
Abstract