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ICML
1994
IEEE
14 years 2 months ago
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
David B. Skalak
AIPS
2008
14 years 1 months ago
What Makes Planners Predictable?
In recent work we showed that models constructed from planner performance data over a large suite of benchmark problems are surprisingly accurate; 91-99% accuracy for success and ...
Mark Roberts, Adele E. Howe, Brandon Wilson, Marie...
IMECS
2007
14 years 6 days ago
A New Class Based Associative Classification Algorithm
—applying the association rule into classification can improve the accuracy and obtain some valuable rules and information that cannot be captured by other classification approac...
Zhonghua Tang, Qin Liao
ISMB
1997
14 years 3 days ago
Prediction of Enzyme Classification from Protein Sequence without the Use of Sequence Similarity
1 W’edescribe a novel approach for predicting the function of a protein from its amino-acid sequence. Given features that can be computedfrom the amino-acid sequence in a straigh...
Marie desJardins, Peter D. Karp, Markus Krummenack...
WCE
2007
13 years 12 months ago
A Comparative Analysis of Image Fusion Techniques for Remote Sensed Images
—This paper deals with different techniques for registration and fusion of remote sensed images. In this work the lower spatial resolution multispectral and higher resolution pan...
Asha Das, K. Revathy