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» Machine Learning by Function Decomposition
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ICML
2000
IEEE
16 years 2 months ago
Reinforcement Learning in POMDP's via Direct Gradient Ascent
This paper discusses theoretical and experimental aspects of gradient-based approaches to the direct optimization of policy performance in controlled ??? ?s. We introduce ??? ?, a...
Jonathan Baxter, Peter L. Bartlett
ICALT
2007
IEEE
15 years 8 months ago
Cooperative Picture Card Dictionary Authoring System For Communicative Language Learning
This research proposes a picture card dictionary authoring system to support young language learners perform communicative tasks using daily-life words, without teaching them the ...
Masahiro Yachi
ISMB
2000
15 years 3 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
ICML
2010
IEEE
15 years 2 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause
SIGGRAPH
2003
ACM
15 years 7 months ago
TensorTextures
This paper introduces a tensor framework for image-based rendering. In particular, we develop an algorithm called TensorTextures that learns a parsimonious model of the bidirectio...
M. Alex O. Vasilescu, Demetri Terzopoulos