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136
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BMCBI
2008
138views more  BMCBI 2008»
15 years 3 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
EMNLP
2007
15 years 5 months ago
Structured Prediction Models via the Matrix-Tree Theorem
This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently non-projective dependency structures. We show how p...
Terry Koo, Amir Globerson, Xavier Carreras, Michae...
142
Voted
RSS
2007
151views Robotics» more  RSS 2007»
15 years 5 months ago
Predicting Partial Paths from Planning Problem Parameters
— Many robot motion planning problems can be described as a combination of motion through relatively sparsely filled regions of configuration space and motion through tighter p...
Sarah Finney, Leslie Pack Kaelbling, Tomás ...
110
Voted
ICCBR
2005
Springer
15 years 9 months ago
Learning Semantic Annotations for Textual Cases
Abstract. In this paper, we propose an approach to attach semantic annotations to textual cases for their representation. To achieve this goal, a framework that combines machine le...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
117
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AI
2007
Springer
15 years 3 months ago
Multi-agent learning and the descriptive value of simple models
Behavioral research suggests that human learning in some multi-agent systems can be predicted with surprisingly simple “foresight-free” models. The current note discusses the ...
Ido Erev, Alvin E. Roth