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ECML
2007
Springer
16 years 28 days ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
MFCS
2007
Springer
16 years 27 days ago
Traces of Term-Automatic Graphs
In formal language theory, many families of languages are defined using grammars or finite acceptors like pushdown automata and Turing machines. For instance, context-sensitive l...
Antoine Meyer
DATE
2004
IEEE
184views Hardware» more  DATE 2004»
15 years 10 months ago
Automatic Verification of Safety and Liveness for XScale-Like Processor Models Using WEB Refinements
We show how to automatically verify that complex XScale-like pipelined machine models satisfy the same safety and liveness properties as their corresponding instruction set archit...
Panagiotis Manolios, Sudarshan K. Srinivasan
NIPS
2003
15 years 8 months ago
Self-calibrating Probability Forecasting
In the problem of probability forecasting the learner’s goal is to output, given a training set and a new object, a suitable probability measure on the possible values of the ne...
Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov
EMNLP
2009
15 years 4 months ago
The Feature Subspace Method for SMT System Combination
Recently system combination has been shown to be an effective way to improve translation quality over single machine translation systems. In this paper, we present a simple and ef...
Nan Duan, Mu Li, Tong Xiao, Ming Zhou