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TSMC
2010
14 years 8 months ago
Active Learning of Plans for Safety and Reachability Goals With Partial Observability
Traditional planning assumes reachability goals and/or full observability. In this paper, we propose a novel solution for safety and reachability planning with partial observabilit...
Wonhong Nam, Rajeev Alur
ALT
2009
Springer
15 years 10 months ago
Learning Finite Automata Using Label Queries
We consider the problem of learning a finite automaton M of n states with input alphabet X and output alphabet Y when a teacher has helpfully or randomly labeled the states of M u...
Dana Angluin, Leonor Becerra-Bonache, Adrian Horia...
DCC
2006
IEEE
16 years 1 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
KBSE
2005
IEEE
15 years 7 months ago
Learning to verify branching time properties
We present a new model checking algorithm for verifying computation tree logic (CTL) properties. Our technique is based on using language inference to learn the fixpoints necessar...
Abhay Vardhan, Mahesh Viswanathan
SAC
2006
ACM
15 years 7 months ago
Protein classification using transductive learning on phylogenetic profiles
Phylogenetic profiles of proteins − strings of ones and zeros encoding respectively the presence and absence of proteins in a group of genomes − have recently been used to iden...
Roger A. Craig, Li Liao