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113
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ALT
2006
Springer
15 years 11 months ago
Iterative Learning from Positive Data and Negative Counterexamples
A model for learning in the limit is defined where a (so-called iterative) learner gets all positive examples from the target language, tests every new conjecture with a teacher ...
Sanjay Jain, Efim B. Kinber
ECIR
2007
Springer
15 years 4 months ago
Automatic Morphological Query Expansion Using Analogy-Based Machine Learning
Information retrieval systems (IRSs) usually suffer from a low ability to recognize a same idea that is expressed in different forms. A way of improving these systems is to take ...
Fabienne Moreau, Vincent Claveau, Pascale Sé...
144
Voted
IANDC
2006
101views more  IANDC 2006»
15 years 2 months ago
Mind change efficient learning
This paper studies efficient learning with respect to mind changes. Our starting point is the idea that a learner that is efficient with respect to mind changes minimizes mind cha...
Wei Luo, Oliver Schulte
PLDI
2009
ACM
15 years 9 months ago
Trace-based just-in-time type specialization for dynamic languages
Dynamic languages such as JavaScript are more difficult to compile than statically typed ones. Since no concrete type information is available, traditional compilers need to emit...
Andreas Gal, Brendan Eich, Mike Shaver, David Ande...
156
Voted
PLDI
2009
ACM
15 years 9 months ago
A language for information flow: dynamic tracking in multiple interdependent dimensions
This paper presents λI , a language for dynamic tracking of information flow across multiple, interdependent dimensions of information. Typical dimensions of interest are integr...
Avraham Shinnar, Marco Pistoia, Anindya Banerjee