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» Modeling Classification and Inference Learning
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ANOR
2010
85views more  ANOR 2010»
13 years 8 months ago
Inventory management with partially observed nonstationary demand
Abstract. We consider a continuous-time model for inventory management with Markov modulated non-stationary demands. We introduce active learning by assuming that the state of the ...
Erhan Bayraktar, Michael Ludkovski
CVPR
2004
IEEE
14 years 10 months ago
Tracking Loose-Limbed People
We pose the problem of 3D human tracking as one of inference in a graphical model. Unlike traditional kinematic tree representations, our model of the body is a collection of loos...
Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michae...
BMCBI
2006
137views more  BMCBI 2006»
13 years 8 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
ICPR
2006
IEEE
14 years 9 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
CHI
2005
ACM
14 years 8 months ago
An empirical study of typing rates on mini-QWERTY keyboards
We present a longitudinal study of mini-QWERTY keyboard use, examining the learning rates of novice miniQWERTY users. The study consists of 20 twenty-minute typing sessions using ...
Edward Clarkson, James Clawson, Kent Lyons, Thad S...