Sciweavers

654 search results - page 91 / 131
» TRUST-TECH based Methods for Optimization and Learning
Sort
View
NIPS
2004
15 years 2 months ago
Mistake Bounds for Maximum Entropy Discrimination
We establish a mistake bound for an ensemble method for classification based on maximizing the entropy of voting weights subject to margin constraints. The bound is the same as a ...
Philip M. Long, Xinyu Wu
ICML
2004
IEEE
16 years 1 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
118
Voted
RECSYS
2009
ACM
15 years 7 months ago
Learning to recommend with trust and distrust relationships
With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in th...
Hao Ma, Michael R. Lyu, Irwin King
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 6 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
AEI
1999
134views more  AEI 1999»
15 years 11 days ago
Automatic design synthesis with artificial intelligence techniques
Design synthesis represents a highly complex task in the field of industrial design. The main difficulty in automating it is the definition of the design and performance spaces, i...
Francisco J. Vico, Francisco J. Veredas, Jos&eacut...