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IJAR
2010
130views more  IJAR 2010»
13 years 8 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
MOR
2010
91views more  MOR 2010»
13 years 8 months ago
Bounding Probability of Small Deviation: A Fourth Moment Approach
In this paper we study the problem of bounding the value of the probability distribution function of a random variable X at E[X] + a where a is a small quantity in comparison with...
Simai He, Jiawei Zhang, Shuzhong Zhang
TON
2010
109views more  TON 2010»
13 years 8 months ago
Rendered path: range-free localization in anisotropic sensor networks with holes
Sensor positioning is a crucial part of many location-dependent applications that utilize wireless sensor networks (WSNs). Current localization approaches can be divided into two ...
Mo Li, Yunhao Liu
AAAI
2010
13 years 7 months ago
Latent Class Models for Algorithm Portfolio Methods
Different solvers for computationally difficult problems such as satisfiability (SAT) perform best on different instances. Algorithm portfolios exploit this phenomenon by predicti...
Bryan Silverthorn, Risto Miikkulainen
EMNLP
2009
13 years 7 months ago
Statistical Estimation of Word Acquisition with Application to Readability Prediction
Models of language learning play a central role in a wide range of applications: from psycholinguistic theories of how people acquire new word knowledge, to information systems th...
Paul Kidwell, Guy Lebanon, Kevyn Collins-Thompson