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» Multiagent learning using a variable learning rate
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129
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JMLR
2010
137views more  JMLR 2010»
14 years 9 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
AAAI
2006
15 years 3 months ago
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
Hoifung Poon, Pedro Domingos
CORR
2007
Springer
167views Education» more  CORR 2007»
15 years 2 months ago
Optimal Solutions for Sparse Principal Component Analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
118
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FSS
2007
117views more  FSS 2007»
15 years 2 months ago
Multiple regression with fuzzy data
In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
236
Voted
ICDE
2008
IEEE
146views Database» more  ICDE 2008»
16 years 3 months ago
Explaining and Reformulating Authority Flow Queries
Authority flow is an effective ranking mechanism for answering queries on a broad class of data. Systems have been developed to apply this principle on the Web (PageRank and topic ...
Ramakrishna Varadarajan, Vagelis Hristidis, Louiqa...