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ATAL
2010
Springer
15 years 4 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
AAAI
2012
13 years 5 months ago
Transportability of Causal Effects: Completeness Results
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...
Elias Bareinboim, Judea Pearl
UAI
2004
15 years 4 months ago
Algebraic Statistics in Model Selection
We develop the necessary theory in computational algebraic geometry to place Bayesian networks into the realm of algebraic statistics. We present an algebra
Luis David Garcia
COLING
2010
14 years 10 months ago
The True Score of Statistical Paraphrase Generation
This article delves into the scoring function of the statistical paraphrase generation model. It presents an algorithm for exact computation and two applicative experiments. The f...
Jonathan Chevelu, Ghislain Putois, Yves Lepage
ICPR
2000
IEEE
16 years 4 months ago
Combining Statistical Measures to Find Image Text Regions
We present a method based on statistical properties of local image pixels for focussing attention on regions of text in arbitrary scenes where the text plane is not necessarily fr...
Paul Clark, Majid Mirmehdi