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COLT
2004
Springer
15 years 9 months ago
Convergence of Discrete MDL for Sequential Prediction
We study the properties of the Minimum Description Length principle for sequence prediction, considering a two-part MDL estimator which is chosen from a countable class of models....
Jan Poland, Marcus Hutter
ALT
1997
Springer
15 years 8 months ago
Learning DFA from Simple Examples
Efficient learning of DFA is a challenging research problem in grammatical inference. It is known that both exact and approximate (in the PAC sense) identifiability of DFA is har...
Rajesh Parekh, Vasant Honavar
ENTCS
2006
113views more  ENTCS 2006»
15 years 4 months ago
Concurrent Java Test Generation as a Search Problem
A Random test generator generates executable tests together with their expected results. In the form of a noise-maker, it seeds the program with conditional scheduling primitives ...
Yaniv Eytani
IJON
2007
184views more  IJON 2007»
15 years 3 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
CORR
2006
Springer
112views Education» more  CORR 2006»
15 years 4 months ago
Lossless coding for distributed streaming sources
Distributed source coding is traditionally viewed in the block coding context -- all the source symbols are known in advance at the encoders. This paper instead considers a stream...
Cheng Chang, Stark C. Draper, Anant Sahai