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ECAI
2006
Springer
15 years 3 months ago
Learning by Automatic Option Discovery from Conditionally Terminating Sequences
Abstract. This paper proposes a novel approach to discover options in the form of conditionally terminating sequences, and shows how they can be integrated into reinforcement learn...
Sertan Girgin, Faruk Polat, Reda Alhajj
JERIC
2006
68views more  JERIC 2006»
14 years 12 months ago
Teaching context in information security
: This paper discusses teaching the application of technical idea through non-technical discussions, especially the use of puzzles to engage students. After discussing the need for...
Matt Bishop
DAC
2009
ACM
16 years 26 days ago
A real-time program trace compressor utilizing double move-to-front method
This paper introduces a new unobtrusive and cost-effective method for the capture and compression of program execution traces in real-time, which is based on a double move-to-fron...
Vladimir Uzelac, Aleksandar Milenkovic
DAC
2007
ACM
16 years 26 days ago
Alembic: An Efficient Algorithm for CNF Preprocessing
Satisfiability (SAT) solvers often benefit from a preprocessing of the formula to be decided. For formulae in conjunctive normal form (CNF), subsumed clauses may be removed or par...
HyoJung Han, Fabio Somenzi
ICSE
2004
IEEE-ACM
15 years 12 months ago
Heuristic-Based Model Refinement for FLAVERS
FLAVERS is a finite-state verification approach that allows an analyst to incrementally add constraints to improve the precision of the model of the system being analyzed. Except ...
Jianbin Tan, George S. Avrunin, Lori A. Clarke