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» Learning with Weighted Transducers
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CIMCA
2005
IEEE
14 years 2 months ago
Opposition-Based Learning: A New Scheme for Machine Intelligence
Opposition-based learning as a new scheme for machine intelligence is introduced. Estimates and counter-estimates, weights and opposite weights, and actions versus counter-actions...
Hamid R. Tizhoosh
NIPS
2008
13 years 10 months ago
Exact Convex Confidence-Weighted Learning
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
Koby Crammer, Mark Dredze, Fernando Pereira
CVPR
2010
IEEE
14 years 1 months ago
Learning Weights for Codebook in Image Classification
This paper presents a codebook learning approach for image classification and retrieval. It corresponds to learning a weighted similarity metric to satisfy that the weighted simil...
Hongping Cai, Krystian Mikolajczyk, Fei Yan
ISMIR
2004
Springer
111views Music» more  ISMIR 2004»
14 years 2 months ago
Feature Weighting for Segmentation
This paper proposes the use of feature weights to reveal the hierarchical nature of music audio. Feature weighting has been exploited in machine learning, but has not been applied...
R. Mitchell, Irfan A. Essa
ECML
2006
Springer
14 years 20 days ago
Constant Rate Approximate Maximum Margin Algorithms
We present a new class of perceptron-like algorithms with margin in which the "effective" learning rate, defined as the ratio of the learning rate to the length of the we...
Petroula Tsampouka, John Shawe-Taylor