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ROBOCUP
2000
Springer
130views Robotics» more  ROBOCUP 2000»
13 years 11 months ago
Improvement Continuous Valued Q-learning and Its Application to Vision Guided Behavior Acquisition
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
Yasutake Takahashi, Masanori Takeda, Minoru Asada
AAAI
2007
13 years 10 months ago
Handling Non-Sentential Utterances in a Continuous Understanding Framework
The goal of my research is to understand speech input in a continuous manner by treating the input stream as fragmental utterances. This allows us to use various approaches to pre...
Carlos Gómez Gallo
INTERSPEECH
2010
13 years 2 months ago
Learning a language model from continuous speech
This paper presents a new approach to language model construction, learning a language model not from text, but directly from continuous speech. A phoneme lattice is created using...
Graham Neubig, Masato Mimura, Shinsuke Mori, Tatsu...
ICDE
2004
IEEE
108views Database» more  ICDE 2004»
14 years 9 months ago
Using Stream Semantics for Continuous Queries in Media Stream Processors
In this demonstration paper we present a stream query processor capable of handling media (audio, video, motion ...) and feature streams. We show that due to their inherent semant...
Amarnath Gupta, Bin Liu, Pilho Kim, Ramesh Jain
COLT
2005
Springer
14 years 1 months ago
Learning Convex Combinations of Continuously Parameterized Basic Kernels
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
Andreas Argyriou, Charles A. Micchelli, Massimilia...