528 search results - page 87 / 106 » Causal inference using the algorithmic Markov condition |
AI
2000
Springer
13 years 10 months ago
2000
Springer
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
IANDC
2008
13 years 10 months ago
2008
In the area of Description Logic (DL), both tableau-based and automata-based algorithms are frequently used to show decidability and complexity results for basic inference problem...
121
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ICDE
2006
IEEE
14 years 11 months ago
2006
IEEE
In this paper we present a system for automatically integrating unstructured text into a multi-relational database using state-of-the-art statistical models for structure extracti...
CDC
2010
IEEE
13 years 5 months ago
2010
IEEE
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...