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ACL
2009
15 years 4 months ago
Bilingual Co-Training for Monolingual Hyponymy-Relation Acquisition
This paper proposes a novel framework called bilingual co-training for a largescale, accurate acquisition method for monolingual semantic knowledge. In this framework, we combine ...
Jong-Hoon Oh, Kiyotaka Uchimoto, Kentaro Torisawa
HAIS
2011
Springer
14 years 10 months ago
JCLEC Meets WEKA!
WEKA has recently become a very referenced DM tool. In spite of all the functionality it provides, it does not include any framework for the development of evolutionary algorithms....
Alberto Cano, José María Luna, Juan ...
ICPR
2010
IEEE
15 years 10 months ago
Localized Multiple Kernel Regression
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
Mehmet Gönen, Ethem Alpaydin
ICPR
2010
IEEE
15 years 4 months ago
Improving Classification Accuracy by Comparing Local Features through Canonical Correlations
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Mert Dikmen, Thomas S. Huang
ICDM
2006
IEEE
146views Data Mining» more  ICDM 2006»
16 years 18 days ago
Boosting Kernel Models for Regression
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
Ping Sun, Xin Yao