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» Modelling Smooth Paths Using Gaussian Processes
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ICML
2007
IEEE
16 years 2 months ago
Bayesian actor-critic algorithms
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
Mohammad Ghavamzadeh, Yaakov Engel
ICDM
2010
IEEE
166views Data Mining» more  ICDM 2010»
14 years 11 months ago
Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection
In this paper, we study probabilistic modeling of heterogeneously attributed multi-dimensional arrays. The model can manage the heterogeneity by employing an individual exponential...
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibat...
ICASSP
2009
IEEE
15 years 8 months ago
People location and orientation tracking in multiple views
This paper presents a multi-view approach to the tracking of people location and orientation. To achieve efficient and accurate likelihood evaluation, a novel likelihood computat...
Huan Jin, Gang Qian
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
16 years 2 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
NIPS
2004
15 years 3 months ago
Beat Tracking the Graphical Model Way
We present a graphical model for beat tracking in recorded music. Using a probabilistic graphical model allows us to incorporate local information and global smoothness constraint...
Dustin Lang, Nando de Freitas