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» Probabilistic Analysis of Large Finite State Machines
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CONNECTION
2004
94views more  CONNECTION 2004»
14 years 11 months ago
Evolving internal memory for T-maze tasks in noisy environments
In autonomous agent systems, internal memory can be an important element to overcome the limitations of purely reactive agent behaviour. This paper presents an analysis of memory r...
DaeEun Kim
IADIS
2004
15 years 1 months ago
Relevance feedback using semantic association between indexing terms in large free text corpuses
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
Shahzad Khan, Kenan Azam
ITCC
2003
IEEE
15 years 5 months ago
Fast Prefix Code Processing
As large main memory becomes more and more available at reasonable prices, processing speed of large data sets becomes more important than reducing main memory usage of internal d...
Renato Pajarola
SIGSOFT
2009
ACM
16 years 13 days ago
Automatic steering of behavioral model inference
Many testing and analysis techniques use finite state models to validate and verify the quality of software systems. Since the specification of such models is complex and timecons...
David Lo, Leonardo Mariani, Mauro Pezzè
TPDS
2002
80views more  TPDS 2002»
14 years 11 months ago
Analysis of Transposition-Table-Driven Work Scheduling in Distributed Search
This paper discusses a new work-scheduling algorithm for parallel search of single-agent state spaces, called Transposition-Table-Driven Work Scheduling, that places the transposit...
John W. Romein, Henri E. Bal, Jonathan Schaeffer, ...