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JMLR
2006
105views more  JMLR 2006»
13 years 10 months ago
Linear State-Space Models for Blind Source Separation
We apply a type of generative modelling to the problem of blind source separation in which prior knowledge about the latent source signals, such as time-varying auto-correlation a...
Rasmus Kongsgaard Olsson, Lars Kai Hansen
JMLR
2006
90views more  JMLR 2006»
13 years 10 months ago
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
We present worst case bounds for the learning rate of a known prediction method that is based on hierarchical applications of binary context tree weighting (CTW) predictors. A heu...
Ron Begleiter, Ran El-Yaniv
MANSCI
2006
121views more  MANSCI 2006»
13 years 10 months ago
Methodologies and Algorithms for Group-Rankings Decision
The problem of group ranking, a.k.a. rank aggregation, has been studied in contexts varying from sports, to multi-criteria decision making, to machine learning, to ranking web pag...
Dorit S. Hochbaum, Asaf Levin
IGPL
2007
113views more  IGPL 2007»
13 years 10 months ago
Pandora: A Reasoning Toolbox using Natural Deduction Style
Pandora is a tool for supporting the learning of first order natural deduction. It includes a help window, an interactive context sensitive tutorial known as the ‘‘e-tutor’...
Krysia Broda, Jiefei Ma, Gabrielle Sinnadurai, Ale...
IJRR
2007
186views more  IJRR 2007»
13 years 10 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz