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ICML
2006
IEEE
16 years 1 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
107
Voted
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
15 years 7 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
117
Voted
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
15 years 7 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
115
Voted
RTSS
2007
IEEE
15 years 7 months ago
Optimal Discrete Rate Adaptation for Distributed Real-Time Systems
Many distributed real-time systems face the challenge of dynamically maximizing system utility and meeting stringent resource constraints in response to fluctuations in system wo...
Yingming Chen, Chenyang Lu, Xenofon D. Koutsoukos
93
Voted
CIKM
2005
Springer
15 years 6 months ago
Discretization based learning approach to information retrieval
We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...
Dmitri Roussinov, Weiguo Fan, Fernando A. Das Neve...