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» Multiagent learning using a variable learning rate
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ASC
2006
15 years 4 months ago
Speeding up the learning of equivalence classes of bayesian network structures
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
Rónán Daly, Qiang Shen, J. Stuart Ai...
AAAI
1998
15 years 6 months ago
Recommendation as Classification: Using Social and Content-Based Information in Recommendation
Recommendationsystems makesuggestions about artifacts to a user. For instance, they maypredict whether a user wouldbe interested in seeing a particular movie. Social recomendation...
Chumki Basu, Haym Hirsh, William W. Cohen
ICMCS
2006
IEEE
117views Multimedia» more  ICMCS 2006»
15 years 11 months ago
Ermdclime: Enabling Real-time Multimedia Discussion for Collaborative Learning in Mobile Environment
With the aid of mobile technology, it’s possible to carry out collaborative learning (CL) in any places at any time. And the most essential and effective way to achieve this goa...
Xin Xiao, Yuanchun Shi, Nan Zhang
GIS
2010
ACM
15 years 3 months ago
Location disambiguation in local searches using gradient boosted decision trees
Local search is a specialization of the web search that allows users to submit geographically constrained queries. However, one of the challenges for local search engines is to un...
Ritesh Agrawal, James G. Shanahan
IAT
2006
IEEE
15 years 11 months ago
Representing Context for Multiagent Trust Modeling
We present a universal mechanism that can be combined with existing trust models to extend their capabilities towards efficient modelling of the situational (contextdependent) tr...
Martin Rehák, Milos Gregor, Michal Pechouce...