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AAAI
1998
13 years 8 months ago
Tree Based Discretization for Continuous State Space Reinforcement Learning
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
William T. B. Uther, Manuela M. Veloso
ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
13 years 5 months ago
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...
ICASSP
2011
IEEE
12 years 11 months ago
Front-end feature transforms with context filtering for speaker adaptation
Feature-space transforms such as feature-space maximum likelihood linear regression (FMLLR) are very effective speaker adaptation technique, especially on mismatched test data. In...
Jing Huang, Karthik Visweswariah, Peder A. Olsen, ...
AMR
2007
Springer
159views Multimedia» more  AMR 2007»
14 years 1 months ago
Automatically Detecting Members and Instrumentation of Music Bands Via Web Content Mining
Abstract. In this paper, we present an approach to automatically detecting music band members and instrumentation using web content mining techniques. To this end, we combine a nam...
Markus Schedl, Gerhard Widmer
TON
2010
167views more  TON 2010»
13 years 2 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...