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» On Learning Mixtures of Heavy-Tailed Distributions
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ICMLA
2010
13 years 6 months ago
Multimodal Parameter-exploring Policy Gradients
Abstract-- Policy Gradients with Parameter-based Exploration (PGPE) is a novel model-free reinforcement learning method that alleviates the problem of high-variance gradient estima...
Frank Sehnke, Alex Graves, Christian Osendorfer, J...
CRV
2009
IEEE
132views Robotics» more  CRV 2009»
14 years 3 months ago
Non-Accidental Features for Gesture Spotting
In this paper we argue that gestures based on nonaccidental motion features can be reliably detected amongst unconstrained background motion. Specifically, we demonstrate that hu...
Adam Fourney, Richard Mann
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
14 years 2 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
CVPR
2012
IEEE
11 years 11 months ago
Sum-product networks for modeling activities with stochastic structure
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
Mohamed R. Amer, Sinisa Todorovic
SIGIR
2005
ACM
14 years 2 months ago
Using term informativeness for named entity detection
Informal communication (e-mail, bulletin boards) poses a difficult learning environment because traditional grammatical and lexical information are noisy. Other information is nec...
Jason D. M. Rennie, Tommi Jaakkola