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ECML
2007
Springer
15 years 5 months ago
Probabilistic Explanation Based Learning
Abstract. Explanation based learning produces generalized explanations from examples. These explanations are typically built in a deductive manner and they aim to capture the essen...
Angelika Kimmig, Luc De Raedt, Hannu Toivonen
104
Voted
NLE
2008
108views more  NLE 2008»
14 years 11 months ago
Using automatically labelled examples to classify rhetorical relations: an assessment
Being able to identify which rhetorical relations (e.g., contrast or explanation) hold between spans of text is important for many natural language processing applications. Using ...
Caroline Sporleder, Alex Lascarides
84
Voted
ACL
1998
15 years 1 months ago
Automatic Acquisition of Language Model based on Head-Dependent Relation between Words
Language modeling is to associate a sequence of words with a priori probability, which is a key part of many natural language applications such as speech recognition and statistic...
Seungmi Lee, Key-Sun Choi
TVLSI
2008
124views more  TVLSI 2008»
14 years 11 months ago
A Refinement-Based Compositional Reasoning Framework for Pipelined Machine Verification
Abstract--We present a refinement-based compositional framework for showing that pipelined machines satisfy the same safety and liveness properties as their non-pipelined specifica...
Panagiotis Manolios, Sudarshan K. Srinivasan
SIGMETRICS
1996
ACM
174views Hardware» more  SIGMETRICS 1996»
15 years 3 months ago
Embra: Fast and Flexible Machine Simulation
This paper describes Embra, a simulator for the processors, caches, and memory systems of uniprocessors and cache-coherent multiprocessors. When running as part of the SimOS simul...
Emmett Witchel, Mendel Rosenblum