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» Learning the required number of agents for complex tasks
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AAAI
2006
13 years 9 months ago
Active Learning with Near Misses
Assume that we are trying to build a visual recognizer for a particular class of objects--chairs, for example--using existing induction methods. Assume the assistance of a human t...
Nela Gurevich, Shaul Markovitch, Ehud Rivlin
ML
2000
ACM
185views Machine Learning» more  ML 2000»
13 years 7 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
GRID
2000
Springer
13 years 11 months ago
An Advanced User Interface Approach for Complex Parameter Study Process Specification on the Information Power Grid
The creation of parameter study suites has recently become a more challenging problem as the parameter studies have become multi-tiered and the computational environment has becom...
Maurice Yarrow, Karen M. McCann, Rupak Biswas, Rob...
AAAI
2007
13 years 10 months ago
Machine Learning for Automatic Mapping of Planetary Surfaces
We describe an application of machine learning to the problem of geomorphic mapping of planetary surfaces. Mapping landforms on planetary surfaces is an important task and the fi...
Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta
ACSC
2007
IEEE
14 years 2 months ago
Mutually Visible Agents in a Discrete Environment
As computer controlled entities are set to move and explore more complex environments they need to be able to perform navigation tasks, like finding minimal cost routes. Much wor...
Joel Fenwick, Vladimir Estivill-Castro