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AAAI
2010
15 years 4 months ago
Learning Causal Models of Relational Domains
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
Marc Maier, Brian Taylor, Huseyin Oktay, David Jen...
MVA
2007
108views Computer Vision» more  MVA 2007»
15 years 4 months ago
Furniture Model Creation Based on Direct Teaching to a Mobile Robot
— In this paper, a modeling method to handle furniture is proposed. In real environment, there is a lot of furniture such as drawer, cabinet and so on. If mobile robots can handl...
Kimitoshi Yamazaki, Takashi Tsubouchi, Masahiro To...
BIOCOMP
2006
15 years 4 months ago
Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
IADIS
2003
15 years 4 months ago
Hypertext Classification: A Multiagent Model for Adaptive Learning Algorithm
The problem of hypertext classification deals with objects possessing more complex information structure than the plain text has. Present hypertext classification systems show the...
Stanislav Baglei
128
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TREC
2004
15 years 4 months ago
Language Models for Searching in Web Corpora
: We describe our participation in the TREC 2004 Web and Terabyte tracks. For the web track, we employ mixture language models based on document full-text, incoming anchortext, and...
Jaap Kamps, Gilad Mishne, Maarten de Rijke