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CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 10 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
CI
2002
92views more  CI 2002»
15 years 6 months ago
Model Selection in an Information Economy: Choosing What to Learn
As online markets for the exchange of goods and services become more common, the study of markets composed at least in part of autonomous agents has taken on increasing importance...
Christopher H. Brooks, Robert S. Gazzale, Rajarshi...
IJMTM
2010
137views more  IJMTM 2010»
15 years 3 months ago
Entry-level engineering professionals and Product Lifecycle Management: a competency model
: In today's rapidly evolving global marketplace, jobs are continually being redefined due to technological innovations and a host of other factors. Workers are also being cal...
Sharron A. Frillman, Kari L. Wilde, Jonathan F. Ko...
AAMAS
2005
Springer
16 years 6 days ago
Towards Adaptive Role Selection for Behavior-Based Agents
This paper presents a model for adaptive agents. The model describes the behavior of an agent as a graph of roles, in short a behavior graph. Links between roles provide conditions...
Danny Weyns, Kurt Schelfthout, Tom Holvoet, Olivie...
ECCV
2008
Springer
16 years 8 months ago
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur...