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» Learning Models for Predicting Recognition Performance
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94
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ICAPR
2005
Springer
15 years 8 months ago
Discovering Predictive Variables When Evolving Cognitive Models
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
Peter C. R. Lane, Fernand Gobet
78
Voted
ICML
2000
IEEE
16 years 3 months ago
Learning to Predict Performance from Formula Modeling and Training Data
Bryan Singer, Manuela M. Veloso
117
Voted
BMCBI
2006
180views more  BMCBI 2006»
15 years 2 months ago
Building multiclass classifiers for remote homology detection and fold recognition
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
Huzefa Rangwala, George Karypis
143
Voted
FLAIRS
2009
15 years 16 days ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar
144
Voted
ICMLA
2009
15 years 15 days ago
Structured Prediction Models for Chord Transcription of Music Audio
Chord sequences are a compact and useful description of music, representing each beat or measure in terms of a likely distribution over individual notes without specifying the not...
Adrian Weller, Daniel P. W. Ellis, Tony Jebara