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» Learning Behavior Models for Hybrid Timed Systems
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CIBCB
2006
IEEE
15 years 6 months ago
A Stochastic model to estimate the time taken for Protein-Ligand Docking
Abstract— Quantum mechanics and molecular dynamic simulation provide important insights into structural configurations and molecular interaction data today. To extend this atomi...
Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. ...
81
Voted
ESA
2004
Springer
105views Algorithms» more  ESA 2004»
15 years 6 months ago
Time Dependent Multi Scheduling of Multicast
Many network applications that need to distribute content and data to a large number of clients use a hybrid scheme in which one (or more) multicast channel is used in parallel to...
Rami Cohen, Dror Rawitz, Danny Raz
DAC
2007
ACM
16 years 1 months ago
Modeling the Function Cache for Worst-Case Execution Time Analysis
Static worst-case execution time (WCET) analysis is done by modeling the hardware behavior. In this paper we describe a WCET analysis technique to analyze systems with function ca...
Raimund Kirner, Martin Schoeberl
CHI
2000
ACM
15 years 5 months ago
Instructional interventions in computer-based tutoring: differential impact on learning time and accuracy
We can reliably build “second generation” intelligent computer tutors that are approximately half as effective as human tutors. This paper evaluates two interface enhancements...
Albert T. Corbett, Holly J. Trask
92
Voted
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
15 years 6 months ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida