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JCST
2008
138views more  JCST 2008»
15 years 4 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003
TEC
2008
165views more  TEC 2008»
15 years 4 months ago
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Shengxiang Yang, Xin Yao
NN
2007
Springer
106views Neural Networks» more  NN 2007»
15 years 4 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 3 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
VL
2010
IEEE
209views Visual Languages» more  VL 2010»
15 years 3 months ago
Towards the Automatic Recognition of Computational Thinking for Adaptive Visual Language Learning
Visual programming languages can be used to make computer science more accessible to a broad range of students. The evaluative focus of current research in the area of visual lang...
Kyu Han Koh, Ashok R. Basawapatna, Vicki Bennett, ...