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IROS
2009
IEEE
160views Robotics» more  IROS 2009»
15 years 6 months ago
Toward human-like walking pattern generator
— In this paper, we generate the biped gait of a humanoid robot that looks like a human’s one. To generate the human like motion, we first capture walking motion of a human. T...
Kensuke Harada, Kanako Miura, Mitsuharu Morisawa, ...
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
14 years 10 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Todd Hester, Michael Quinlan, Peter Stone
LREC
2010
188views Education» more  LREC 2010»
15 years 1 months ago
How Large a Corpus Do We Need: Statistical Method Versus Rule-based Method
We investigate the impact of input data scale in corpus-based learning using a study style of Zipf's law. In our research, Chinese word segmentation is chosen as the study ca...
Hai Zhao, Yan Song, Chunyu Kit
ML
2002
ACM
220views Machine Learning» more  ML 2002»
14 years 11 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
DATAMINE
1999
108views more  DATAMINE 1999»
14 years 11 months ago
A Survey of Methods for Scaling Up Inductive Algorithms
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
Foster J. Provost, Venkateswarlu Kolluri