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FASE
2006
Springer
15 years 6 months ago
Regular Inference for State Machines with Parameters
Techniques for inferring a regular language, in the form of a finite automaton, from a sufficiently large sample of accepted and nonaccepted input words, have been employed to cons...
Therese Berg, Bengt Jonsson, Harald Raffelt
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 8 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
15 years 27 days ago
Finding effectors in social networks
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopu...
CL
2012
Springer
13 years 4 months ago
Maintaining distributed logic programs incrementally
Distributed logic programming languages, that allow both facts and programs to be distributed among different nodes in a network, have been recently proposed and used to declarati...
Vivek Nigam, Limin Jia, Boon Thau Loo, Andre Scedr...
TACAS
2009
Springer
89views Algorithms» more  TACAS 2009»
15 years 9 months ago
Hierarchical Adaptive State Space Caching Based on Level Sampling
In the past, several attempts have been made to deal with the state space explosion problem by equipping a depth-first search (DFS) algorithm with a state cache, or by avoiding co...
Radu Mateescu, Anton Wijs