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98
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ICML
1997
IEEE
16 years 1 months ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Nir Friedman
134
Voted
ICML
1995
IEEE
16 years 1 months ago
Learning Policies for Partially Observable Environments: Scaling Up
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
Michael L. Littman, Anthony R. Cassandra, Leslie P...
113
Voted
ALT
2007
Springer
15 years 9 months ago
Learning and Verifying Graphs Using Queries with a Focus on Edge Counting
We consider the problem of learning and verifying hidden graphs and their properties given query access to the graphs. We analyze various queries (edge detection, edge counting, sh...
Lev Reyzin, Nikhil Srivastava
89
Voted
MLDM
2009
Springer
15 years 7 months ago
Drift-Aware Ensemble Regression
Abstract. Regression models are often required for controlling production processes by predicting parameter values. However, the implicit assumption of standard regression techniqu...
Frank Rosenthal, Peter Benjamin Volk, Martin Hahma...
103
Voted
ICALT
2008
IEEE
15 years 7 months ago
NOESIS: An Enhanced Educational Environment for Kids with Autism Spectrum Disorders
A novel educational environment for kids with autistic spectrum disorders (ASDs), namely NOESIS, is presented in this paper. NOESIS takes into account ASD kids’ individual chara...
Iason Vittorias, Panagiotis Petrantonakis, Dimitri...