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» A Monotonic Measure for Optimal Feature Selection
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LREC
2010
165views Education» more  LREC 2010»
13 years 10 months ago
Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
Asif Ekbal, Sriparna Saha
TIP
1998
99views more  TIP 1998»
13 years 8 months ago
Nonlinear image estimation using piecewise and local image models
—We introduce a new approach to image estimation based on a flexible constraint framework that encapsulates meaningful structural image assumptions. Piecewise image models (PIM...
Scott T. Acton, Alan C. Bovik
WSC
1997
13 years 10 months ago
Selecting the Best System: A Decision-Theoretic Approach
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
Stephen E. Chick
CDC
2010
IEEE
128views Control Systems» more  CDC 2010»
13 years 3 months ago
Greedy sensor selection: Leveraging submodularity
ACT We consider the problem of sensor selection in resource constrained sensor networks. The fusion center selects a subset of k sensors from an available pool of m sensors accordi...
Manohar Shamaiah, Siddhartha Banerjee, Haris Vikal...
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 9 months ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...