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» Perceptual Learning and Abstraction in Machine Learning
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DSMML
2004
Springer
15 years 3 months ago
Multi Channel Sequence Processing
Abstract. This paper summarizes some of the current research challenges arising from multi-channel sequence processing. Indeed, multiple real life applications involve simultaneous...
Samy Bengio, Hervé Bourlard
DSMML
2004
Springer
15 years 3 months ago
Transformations of Gaussian Process Priors
Abstract. Gaussian process prior systems generally consist of noisy measurements of samples of the putatively Gaussian process of interest, where the samples serve to constrain the...
Roderick Murray-Smith, Barak A. Pearlmutter
TSD
2004
Springer
15 years 3 months ago
Handling Multi-word Expressions Without Explicit Linguistic Rules in an MT System
Abstract. Translation of Multi-word expressions (MWEs) is one of the most challenging tasks of a Machine translation (MT) system. In this paper, we present an innovative technique ...
Akshar Bharati, Rajeev Sangal, Dipti Mishra, Srira...
COLT
1998
Springer
15 years 1 months ago
Improved Boosting Algorithms using Confidence-Rated Predictions
Abstract. We describe several improvements to Freund and Schapire's AdaBoost boosting algorithm, particularly in a setting in which hypotheses may assign confidences to each o...
Robert E. Schapire, Yoram Singer
COLT
1997
Springer
15 years 1 months ago
Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach
Abstract. We propose a convex optimization approach to solving the nonparametric regression estimation problem when the underlying regression function is Lipschitz continuous. This...
Dimitris Bertsimas, David Gamarnik, John N. Tsitsi...