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ITS
2010
Springer
157views Multimedia» more  ITS 2010»
14 years 5 days 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
JMLR
2006
80views more  JMLR 2006»
13 years 7 months ago
Using Machine Learning to Guide Architecture Simulation
An essential step in designing a new computer architecture is the careful examination of different design options. It is critical that computer architects have efficient means by ...
Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Cald...
ICML
2002
IEEE
14 years 8 months ago
Reinforcement Learning and Shaping: Encouraging Intended Behaviors
We explore dynamic shaping to integrate our prior beliefs of the final policy into a conventional reinforcement learning system. Shaping provides a positive or negative artificial...
Adam Laud, Gerald DeJong
ANSS
2006
IEEE
14 years 1 months ago
USim: A User Behavior Simulation Framework for Training and Testing IDSes in GUI Based Systems
Anomaly detection systems largely depend on user profile data to be able to detect deviation from normal activity. Most of this profile data is based on commands executed by use...
Ashish Garg, Vidyaraman Sankaranarayanan, Shambhu ...
EURODAC
1995
IEEE
126views VHDL» more  EURODAC 1995»
13 years 11 months ago
Use of embedded scheduling to compile VHDL for effective parallel simulation
This paper describes VHDL compilation techniques, embodied in the Auriga compiler [3,14], which facilitate parallel or distributed simulation by embedding evaluation scheduling in...
John Willis, Zhiyuan Li, Tsang-Puu Lin