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PR
2008
154views more  PR 2008»
15 years 3 months ago
Data-driven decomposition for multi-class classification
This paper presents a new study on a method of designing a multi-class classifier: Data-driven Error Correcting Output Coding (DECOC). DECOC is based on the principle of Error Cor...
Jie Zhou, Hanchuan Peng, Ching Y. Suen
TSMC
2008
136views more  TSMC 2008»
15 years 2 months ago
Learning Relational Descriptions of Differentially Expressed Gene Groups
Abstract-- This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to find compactly described groups of genes differen...
Igor Trajkovski, Filip Zelezný, Nada Lavrac...
KBS
2002
106views more  KBS 2002»
15 years 2 months ago
Hybrid decision tree
In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
Zhi-Hua Zhou, Zhaoqian Chen
SIGIR
2002
ACM
15 years 2 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
PVLDB
2008
134views more  PVLDB 2008»
15 years 2 months ago
Evita raced: metacompilation for declarative networks
Declarative languages have recently been proposed for many new applications outside of traditional data management. Since these are relatively early research efforts, it is import...
Tyson Condie, David Chu, Joseph M. Hellerstein, Pe...