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AI
2010
Springer
15 years 1 months ago
Robustness of Classifiers to Changing Environments
Abstract. In this paper, we test some of the most commonly used classifiers to identify which ones are the most robust to changing environments. The environment may change over tim...
Houman Abbasian, Chris Drummond, Nathalie Japkowic...
IR
2011
15 years 1 months ago
Learning to rank for why-question answering
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
Suzan Verberne, Hans van Halteren, Daphne Theijsse...
TKDE
2011
479views more  TKDE 2011»
15 years 1 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
VLSISP
2011
216views Database» more  VLSISP 2011»
15 years 1 months ago
Accurate Area, Time and Power Models for FPGA-Based Implementations
This paper presents accurate area, time, power estimation models for implementations using FPGAs from the Xilinx Virtex-2Pro family [1]. These models are designed to facilitate ef...
Lanping Deng, Kanwaldeep Sobti, Yuanrui Zhang, Cha...
INTERSPEECH
2010
15 years 1 months ago
Text-based unstressed syllable prediction in Mandarin
Recently, an increasing attention has been paid to Mandarin word stress which is important for improving the naturalness of speech synthesis. Most of the research on Mandarin spee...
Ya Li, Jianhua Tao, Meng Zhang, Shifeng Pan, Xiaoy...