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NIPS
2008
15 years 2 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey
FLAIRS
2006
15 years 2 months ago
Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
Adam Zagorecki, Mark Voortman, Marek J. Druzdzel
IJCAI
2001
15 years 2 months ago
Reinforcement Learning in Distributed Domains: Beyond Team Games
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...
David Wolpert, Joseph Sill, Kagan Tumer
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 6 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
EUROMICRO
2000
IEEE
15 years 5 months ago
Distributed Virtual Learning Environment: A Web-Based Approach
In this paper, we present a web-based Distributed Virtual Learning Environment (DVLE) that could be used as a sophisticated tool for distance education and collaboration between t...
Christos Bouras, Alexandros Philopoulos