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Searching for "The Problem of Overfitting." – sorted by Relevance.

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314 documents found, showing 1 through 10. Next 10 →

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Tuning Statistical Machine Translation Parameters
by I. Introduction
… such as overfitting. This paper addresses the problem of tuning GIZA++ parameter for better translation quality…
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Overfitting Avoidance For Stochastic Modeling of . . .
by Tony Mullen, Miles Osborne — 2000 — IN PROCEEDINGS OF THE FOURTH CONFERENCE ON COMPUTATIONAL NATURAL LANGUAGE LEARNING
… of Groningen mullen@let, rug. nl Abstract We present a novel approach to the problem of overfitting…
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Intraday FX Trading - An Evolutionary Reinforcement . . .
by Cambridge Cb Lag, Dempster, M A H Dempster, Professor M A H Dempster, Y S Romahi, Y S Romahi, Y S Romahi, Cb Lag — 2002
… difference reinforcement learning suffered from problems with overfitting the in-sample data. This motivated…
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Bayesian Exponential Family PCA
by Shakir Mohamed, Katherine Heller, Zoubin Ghahramani
… to take advantage of Bayesian inference and can suffer from problems of overfitting and poor…
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ν-Arc: Ensemble Learning in the Presence of Outliers
by G. Rätsch, B. Schölkopf, A. Smola, K.-R. Müller, T. Onoda, S. Mika — 1999 — Advances in Neural Information Processing Systems 12
… defying problems of overfitting. AdaBoost performs gradient descent in an error function with respect…
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Robust Ensemble Learning for Data Analysis
by Gunnar Rätsch, Bernhard Scholkopf, Alex Smola, Sebastian Mika, S. Mika, Klaus-Robert Müller, Takashi Onoda — 2000
… tasks, seemingly defying problems of overtting. AdaBoost performs gradient descent in an error function…
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Bayesian Techniques for Neural Networks - Review and Case Studies
by Jouko Lampinen And, Jouko Lampinen, Aki Vehtari — 2000
…. Bayesian approach provides a principled way to handle the problem of overfitting, by averaging over all…
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Selection of Learning Methods Using an Adaptive Model of Knowledge Utility
by Lawrence Holder — 1991 — In Proceedings of the First International Workshop on Multistrategy Learning
… of the utility of their knowledge during the course of learning. Key words: utility problem, overfit…
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Overfitting Avoidance for Stochastic Modeling of Attribute-Value Grammars
by Tony Mullen, Miles Osborne — 2000 — In Proceedings of the Fourth Conference on Computational Natural Language Learning
…. Abstract We present a novel approach to the problem of overfitting in the training of stochastic models…
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Orthogonal Least Square Algorithm Applied to the Initialization of Multi-Layer Perceptrons
by Of Multi-layer Perceptrons, V. Colla, L. M. Reyneri, M. Sgarbi — 1999
… also to a correct choice of the number of hidden neurons, which helps avoiding problems of overfitting…
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