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» Teaching Regression with Simulation
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MCS
2005
Springer
14 years 3 months ago
Ensemble of SVMs for Incremental Learning
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...
ICTAI
2002
IEEE
14 years 3 months ago
Function Approximation Using Robust Wavelet Neural Networks
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
Sheng-Tun Li, Shu-Ching Chen
IWANN
2001
Springer
14 years 2 months ago
A Penalization Criterion Based on Noise Behaviour for Model Selection
Complexity-penalization strategies are one way to decide on the most appropriate network size in order to address the trade-off between overfitted and underfitted models. In this p...
Joaquín Pizarro Junquera, Pedro Galindo Ria...
ECAI
2008
Springer
13 years 11 months ago
A Simulation-based Approach for Solving Generalized Semi-Markov Decision Processes
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...
Emmanuel Rachelson, Gauthier Quesnel, Fréd&...
ACL
1997
13 years 11 months ago
Predicting the Semantic Orientation of Adjectives
We identify and validate from a large corpus constraints from conjunctions on the positive or negative semantic orientation of the conjoined adjectives. A log-linear regression mo...
Vasileios Hatzivassiloglou, Kathleen McKeown