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RSFDGRC
2005
Springer
208views Data Mining» more  RSFDGRC 2005»
15 years 12 months ago
On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks
Abstract. In this paper, we revisit the consensus of computational complexity on exact inference in Bayesian networks. We point out that even in singly connected Bayesian networks,...
Dan Wu, Cory J. Butz
JMLR
2007
87views more  JMLR 2007»
15 years 6 months ago
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
We show that, given data from a mixture of k well-separated spherical Gaussians in Rd, a simple two-round variant of EM will, with high probability, learn the parameters of the Ga...
Sanjoy Dasgupta, Leonard J. Schulman
CEC
2009
IEEE
16 years 1 months ago
HyperNEAT controlled robots learn how to drive on roads in simulated environment
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
Jan Drchal, Jan Koutník, Miroslav Snorek
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
16 years 27 days ago
Task maps in humanoid robot manipulation
— This paper presents an integrative approach to solve the coupled problem of reaching and grasping an object in a cluttered environment with a humanoid robot. While finding an ...
Michael Gienger, Marc Toussaint, Christian Goerick
ICRA
2007
IEEE
123views Robotics» more  ICRA 2007»
16 years 24 days ago
Model-Based Wheel Slip Detection for Outdoor Mobile Robots
— This paper introduces a model-based approach to estimating longitudinal wheel slip and detecting immobilized conditions of autonomous mobile robots operating on outdoor terrain...
Chris C. Ward, Karl Iagnemma