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» Optimization on Support Vector Machines
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CIBCB
2009
IEEE
14 years 11 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
82
Voted
ICMCS
2009
IEEE
164views Multimedia» more  ICMCS 2009»
14 years 8 months ago
Audio-based classification of speaker characteristics
The human voice is primarily a carrier of speech, but it also contains non-linguistic features unique to a speaker and indicative of various speaker demographics, e.g. gender, nat...
Promiti Dutta, Alexander Haubold
71
Voted
ICPR
2008
IEEE
15 years 11 months ago
A machine learning based scheme for double JPEG compression detection
Double JPEG compression detection is of significance in digital forensics. We propose an effective machine learning based scheme to distinguish between double and single JPEG comp...
Chunhua Chen, Wei Su, Yun Q. Shi
BMCBI
2008
123views more  BMCBI 2008»
14 years 10 months ago
Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
PAKDD
2005
ACM
102views Data Mining» more  PAKDD 2005»
15 years 4 months ago
Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted Rules
Abstract. We apply a machine learning method to the occupation coding, which is a task to categorize the answers to open-ended questions regarding the respondent’s occupation. Sp...
Kazuko Takahashi, Hiroya Takamura, Manabu Okumura