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JMLR
2006
105views more  JMLR 2006»
15 years 6 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»
15 years 6 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»
15 years 6 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»
15 years 6 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»
15 years 6 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