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NIPS
1996
13 years 10 months ago
Adaptively Growing Hierarchical Mixtures of Experts
We propose a novelapproach to automaticallygrowing and pruning Hierarchical Mixtures of Experts. The constructive algorithm proposed here enables large hierarchies consisting of s...
Jürgen Fritsch, Michael Finke, Alex Waibel
ML
2008
ACM
13 years 9 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
TCS
2011
13 years 3 months ago
Parameter estimation for Boolean models of biological networks
Boolean networks have long been used as models of molecular networks and play an increasingly important role in systems biology. This paper describes a software package, offered ...
Elena S. Dimitrova, Luis David García-Puent...
SAC
2008
ACM
13 years 8 months ago
An efficient feature ranking measure for text categorization
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Songbo Tan, Yuefen Wang, Xueqi Cheng
ANOR
2011
175views more  ANOR 2011»
13 years 4 months ago
Integrated exact, hybrid and metaheuristic learning methods for confidentiality protection
A vital task facing government agencies and commercial organizations that report data is to represent the data in a meaningful way and simultaneously to protect the confidentialit...
Fred Glover, Lawrence H. Cox, Rahul Patil, James P...