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NIPS
2001
15 years 8 months ago
Predictive Representations of State
We show that states of a dynamical system can be usefully represented by multi-step, action-conditional predictions of future observations. State representations that are grounded...
Michael L. Littman, Richard S. Sutton, Satinder P....
SBBD
2004
166views Database» more  SBBD 2004»
15 years 8 months ago
An Apriori-based Approach for First-Order Temporal Pattern Mining
Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting sequen...
Sandra de Amo, Daniel A. Furtado, Arnaud Giacomett...
IJCAI
2003
15 years 8 months ago
Predicting Web Information Content
In this paper, we propose a novel method to infer the web user’s Information Content (IC), which is the information that the user must examine to complete her task. In particula...
Tingshao Zhu, Russell Greiner, Gerald Häubl, ...
NIPS
1998
15 years 7 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
COLING
1996
15 years 7 months ago
The Automatic Extraction of Open Compounds from Text Corpora
This paper describes a new method for extracting open compounds (uninterrupted sequences of words) from text corpora of languages, such as Thai, Japanese and Korea that exhibit un...
Virach Sornlertlamvanich, Hozumi Tanaka