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» On the Autoreducibility of Random Sequences
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FOCS
1994
IEEE
13 years 12 months ago
The Power of Team Exploration: Two Robots Can Learn Unlabeled Directed Graphs
We show that two cooperating robots can learn exactly any strongly-connected directed graph with n indistinguishable nodes in expected time polynomial in n. We introduce a new typ...
Michael A. Bender, Donna K. Slonim
COLT
1992
Springer
13 years 12 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
BC
2008
208views more  BC 2008»
13 years 8 months ago
Through a barn owl's eyes: interactions between scene content and visual attention
Abstract In this study we set to investigate visual attention properties of freely behaving barn owls using a miniature wireless camera attached to their heads. The tubular eye str...
Shay Ohayon, Wolf Harmening, Hermann Wagner, Ehud ...
CORR
2007
Springer
131views Education» more  CORR 2007»
13 years 7 months ago
Bayesian sequential change diagnosis
Sequential change diagnosis is the joint problem of detection and identification of a sudden and unobservable change in the distribution of a random sequence. In this problem, the...
Savas Dayanik, Christian Goulding, H. Vincent Poor
IJBC
2007
80views more  IJBC 2007»
13 years 7 months ago
Exact Approximations of omega Numbers
A Chaitin Omega number is the halting probability of a universal prefix-free Turing machine. Every Omega number is simultaneously computably enumerable (the limit of a computable...
Cristian S. Calude, Michael J. Dinneen