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APIN
2004
116views more  APIN 2004»
13 years 7 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
BMCBI
2004
229views more  BMCBI 2004»
13 years 7 months ago
Automatic annotation of protein motif function with Gene Ontology terms
Background: Conserved protein sequence motifs are short stretches of amino acid sequence patterns that potentially encode the function of proteins. Several sequence pattern search...
Xinghua Lu, Chengxiang Zhai, Vanathi Gopalakrishna...
NORDICHI
2004
ACM
14 years 1 months ago
Transcendent experience in the use of computer-based media
If interactive computer media is engaging and immersive, it may trigger similar feelings that people experience when they, for example, are wandering in nature, participating in h...
Jari Laarni, Niklas Ravaja, Kari Kallinen, Timo Sa...
WWW
2004
ACM
14 years 8 months ago
FADA: find all distinct answers
The wealth of information available on the web makes it an attractive resource for seeking quick answers. While web-based question answering becomes an emerging topic in recent ye...
Hui Yang, Tat-Seng Chua
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
14 years 1 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher