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128
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KDD
1998
ACM
112views Data Mining» more  KDD 1998»
15 years 7 months ago
Evaluating Usefulness for Dynamic Classification
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...
119
Voted
KAIS
2008
165views more  KAIS 2008»
15 years 2 months ago
Multirelational classification: a multiple view approach
Multirelational classification aims at discovering useful patterns across multiple inter-connected tables (relations) in a relational database. Many traditional learning techniques...
Hongyu Guo, Herna L. Viktor
132
Voted
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 3 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
98
Voted
ISMB
2001
15 years 4 months ago
Molecular classification of multiple tumor types
Using gene expression data to classify tumor types is a very promising tool in cancer diagnosis. Previous works show several pairs of tumor types can be successfully distinguished...
Chen-Hsiang Yeang, Sridhar Ramaswamy, Pablo Tamayo...
137
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Emotion classification from speech using evaluator reliability-weighted combination of ranked lists
In emotion recognition, a widely-used method to reconciliate disagreement between multiple human evaluators is to perform majority-voting on their assigned class labels. Instead, ...
Kartik Audhkhasi, Shrikanth S. Narayanan