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» Average-Case Complexity of Learning Polynomials
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81
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COLT
1994
Springer
15 years 1 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
AAIP
2009
14 years 10 months ago
Incremental Learning in Inductive Programming
Inductive programming systems characteristically exhibit an exponential explosion in search time as one increases the size of the programs to be generated. As a way of overcoming ...
Robert Henderson
JMLR
2006
124views more  JMLR 2006»
14 years 9 months ago
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem
The rise of convex programming has changed the face of many research fields in recent years, machine learning being one of the ones that benefitted the most. A very recent develop...
Tijl De Bie, Nello Cristianini
COMPSAC
2007
IEEE
15 years 3 months ago
Learning Parameterized State Machine Model for Integration Testing
Although many of the software engineering activities can now be model-supported, the model is often missing in software development. We are interested in retrieving statemachine m...
Muzammil Shahbaz, Keqin Li 0002, Roland Groz
83
Voted
LATA
2010
Springer
15 years 2 months ago
Finding Consistent Categorial Grammars of Bounded Value: A Parameterized Approach
Abstract. Kanazawa ([1]) has studied the learnability of several parameterized families of classes of categorial grammars. These classes were shown to be learnable from text, in th...
Christophe Costa Florêncio, Henning Fernau