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» Hierarchy as a new data type for qualitative variables
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BMCBI
2010
132views more  BMCBI 2010»
13 years 7 months ago
Data structures and compression algorithms for high-throughput sequencing technologies
Background: High-throughput sequencing (HTS) technologies play important roles in the life sciences by allowing the rapid parallel sequencing of very large numbers of relatively s...
Kenny Daily, Paul Rigor, Scott Christley, Xiaohui ...
NIPS
2001
13 years 8 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
KI
2001
Springer
13 years 12 months ago
Extracting Situation Facts from Activation Value Histories in Behavior-Based Robots
The paper presents a new technique for extracting symbolic ground facts out of the sensor data stream in autonomous robots for use under hybrid control architectures, which compris...
Frank Schönherr, Mihaela Cistelecan, Joachim ...
ESWA
2006
102views more  ESWA 2006»
13 years 7 months ago
A study of Taiwan's issuer credit rating systems using support vector machines
By providing credit risk information, credit rating systems benefit most participants in financial markets, including issuers, investors, market regulators and intermediaries. In ...
Wun-Hwa Chen, Jen-Ying Shih
CANS
2006
Springer
136views Cryptology» more  CANS 2006»
13 years 11 months ago
Watermarking Essential Data Structures for Copyright Protection
Software watermarking is a new research area that aims at providing copyright protection for commercial software. It minimizes software piracy by hiding copyright signatures inside...
Qutaiba Albluwi, Ibrahim Kamel