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» Using Anonymized Data for Classification
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149
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SAC
2008
ACM
15 years 1 months ago
Strangeness-based feature weighting and classification of gene expression profiles
Achieving high classification accuracy is a major challenge in the diagnosis of cancer types based on gene expression profiles. These profiles are notoriously noisy in that a larg...
Haifeng Shao, Bei Yu, Joseph H. Nadeau
135
Voted
IS
2008
15 years 2 months ago
Mining relational data from text: From strictly supervised to weakly supervised learning
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
Zhu Zhang
AICCSA
2007
IEEE
99views Hardware» more  AICCSA 2007»
15 years 6 months ago
Quine-McCluskey Classification
In this paper the Karnaugh and Quine-McCluskey methods are used for symbolic classification problem, and then these methods are compared with other famous available methods. Becau...
Javad Safaei, Hamid Beigy
BIBE
2008
IEEE
112views Bioinformatics» more  BIBE 2008»
15 years 4 months ago
Feature selection and classification for assessment of chronic stroke impairment
Recent advances of robotic/mechanical devices enable us to measure a subject's performance in an objective and precise manner. The main issue of using such devices is how to r...
Jae-Yoon Jung, Janice I. Glasgow, Stephen H. Scott
KDD
1997
ACM
103views Data Mining» more  KDD 1997»
15 years 6 months ago
Fast Committee Machines for Regression and Classification
In many data mining applications we are given a set of training examples and asked to construct a regression machine or a classifier that has low prediction error or low error rat...
Harris Drucker