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» Temporal Data Classification Using Linear Classifiers
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DMKD
1999
ACM
108views Data Mining» more  DMKD 1999»
14 years 1 days ago
Classification as Mining and Use of Labeled Itemsets
We investigate the relationship between association and classification mining. The main issue in association mining is the discovery of interesting patterns of the data, so called...
Dimitris Meretakis, Beat Wüthrich
BMCBI
2008
114views more  BMCBI 2008»
13 years 7 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
IPMI
1999
Springer
14 years 8 months ago
Statistical Shape Analysis Using Fixed Topology Skeletons: Corpus Callosum Study
The goal of this work is to develop an approach to shape representation and classification that will allow us to detect and quantify differences in shape of anatomical structures d...
Polina Golland, W. Eric L. Grimson, Ron Kikinis
EMNLP
2008
13 years 9 months ago
Question Classification using Head Words and their Hypernyms
Question classification plays an important role in question answering. Features are the key to obtain an accurate question classifier. In contrast to Li and Roth (2002)'s app...
Zhiheng Huang, Marcus Thint, Zengchang Qin
JIIS
2006
73views more  JIIS 2006»
13 years 7 months ago
Using KCCA for Japanese-English cross-language information retrieval and document classification
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Yaoyong Li, John Shawe-Taylor