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ITS
2010
Springer
157views Multimedia» more  ITS 2010»
15 years 11 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
SC
2003
ACM
15 years 11 months ago
A Self-Organizing Flock of Condors
Condor provides high throughput computing by leveraging idlecycles on off-the-shelf desktop machines. It also supports flocking, a mechanism for sharing resources among Condor po...
Ali Raza Butt, Rongmei Zhang, Y. Charlie Hu
DATAMINE
1998
145views more  DATAMINE 1998»
15 years 6 months ago
A Tutorial on Support Vector Machines for Pattern Recognition
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
Christopher J. C. Burges
BMCBI
2011
15 years 27 days ago
A theoretical entropy score as a single value to express inhibitor selectivity
Background: Designing maximally selective ligands that act on individual targets is the dominant paradigm in drug discovery. Poor selectivity can underlie toxicity and side effect...
Joost C. M. Uitdehaag, Guido J. R. Zaman
DMIN
2006
141views Data Mining» more  DMIN 2006»
15 years 7 months ago
Extracting Forensic Explanation from Intrusion Alerts
Since it is desirable for an intrusion detection system to be operated with the real time performance, it is not unusual for an intrusion detection engine to perform a "lazy ...
Bon Sy, Negmat Mullodzhanov