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» Choosing an Accurate Network Model using Domain Analysis
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170
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CIBCB
2007
IEEE
15 years 7 months ago
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
Ji He, Xinbin Dai, Xuechun Zhao
ICML
2003
IEEE
16 years 4 months ago
Learning with Knowledge from Multiple Experts
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
Matthew Richardson, Pedro Domingos
120
Voted
KDD
2004
ACM
116views Data Mining» more  KDD 2004»
15 years 9 months ago
A system for automated mapping of bill-of-materials part numbers
Part numbers are widely used within an enterprise throughout the manufacturing process. The point of entry of such part numbers into this process is normally via a Bill of Materia...
Jayant Kalagnanam, Moninder Singh, Sudhir Verma, M...
117
Voted
ROBOCOMM
2007
IEEE
15 years 9 months ago
Achieving connectivity through coalescence in mobile robot networks
—Coalescence is the problem of isolated mobile robots independently searching for peers with the goal of forming a single connected network. This paper analyzes coalescence time ...
Sameera Poduri, Gaurav S. Sukhatme
173
Voted
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 1 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone