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» Approximate algorithms for neural-Bayesian approaches
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ICML
2010
IEEE
14 years 11 months ago
Feature Selection as a One-Player Game
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
Romaric Gaudel, Michèle Sebag
SIGMOD
2010
ACM
154views Database» more  SIGMOD 2010»
14 years 10 months ago
Unbiased estimation of size and other aggregates over hidden web databases
Many websites provide restrictive form-like interfaces which allow users to execute search queries on the underlying hidden databases. In this paper, we consider the problem of es...
Arjun Dasgupta, Xin Jin, Bradley Jewell, Nan Zhang...
HICSS
2008
IEEE
153views Biometrics» more  HICSS 2008»
14 years 10 months ago
Fault-Tolerant k-Fold Pivot Routing in Wireless Sensor Networks
Selecting a small set of nodes called pivots, from all the nodes in a network and maintaining the routing infrastructure to and among each other can reduce routing overhead and ex...
Doina Bein
AMAI
2008
Springer
14 years 10 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
ENTCS
2006
113views more  ENTCS 2006»
14 years 10 months ago
A Large-Scale Experiment in Executing Extracted Programs
It is a well-known fact that algorithms are often hidden inside mathematical proofs. If these proofs are formalized inside a proof assistant, then a mechanism called extraction ca...
Luís Cruz-Filipe, Pierre Letouzey