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» Evaluating algorithms that learn from data streams
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ACE
2003
83views Education» more  ACE 2003»
15 years 7 months ago
Student Learning Experience with an Industry Certification Course at University
This is an analysis of the computer generated feedback from an industry certification course, as taught as part of a university unit. A method for extracting useful information fr...
Andrew James Simmonds
VLDB
2004
ACM
103views Database» more  VLDB 2004»
15 years 11 months ago
WIC: A General-Purpose Algorithm for Monitoring Web Information Sources
The Web is becoming a universal information dissemination medium, due to a number of factors including its support for content dynamicity. A growing number of Web information prov...
Sandeep Pandey, Kedar Dhamdhere, Christopher Olsto...
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 6 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
BMCBI
2007
91views more  BMCBI 2007»
15 years 6 months ago
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...
WEWORC
2007
162views Cryptology» more  WEWORC 2007»
15 years 7 months ago
New Attacks on the Stream Cipher TPy6 and Design of New Ciphers the TPy6-A and the TPy6-B
The stream ciphers Py, Pypy and Py6 were designed by Biham and Seberry for the ECRYPT-eSTREAM project in 2005. The ciphers were promoted to the ‘Focus’ ciphers of the Phase II ...
Gautham Sekar, Souradyuti Paul, Bart Preneel