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» Lazy Abstraction with Interpolants
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NIPS
1998
13 years 8 months ago
Lazy Learning Meets the Recursive Least Squares Algorithm
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
Mauro Birattari, Gianluca Bontempi, Hugues Bersini
HPCC
2009
Springer
13 years 11 months ago
Dynamically Filtering Thread-Local Variables in Lazy-Lazy Hardware Transactional Memory
Abstract--Transactional Memory (TM) is an emerging technology which promises to make parallel programming easier. However, to be efficient, underlying TM system should protect only...
Sutirtha Sanyal, Sourav Roy, Adrián Cristal...
MLDM
2007
Springer
14 years 1 months ago
Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds
Abstract. The goal of predictive toxicology is the automatic construction of carcinogenecity models. Most common artificial intelligence techniques used to construct these models ...
Eva Armengol
TMI
2002
146views more  TMI 2002»
13 years 7 months ago
Feature-Guided Shape-Based Image Interpolation
Abstract--A feature-guided image interpolation scheme is presented. It is an effective and improved, shape-based interpolation method used for interpolating image slices in medical...
Tong-Yee Lee, Chao-Hung Lin
LPAR
2004
Springer
14 years 25 days ago
Abstract DPLL and Abstract DPLL Modulo Theories
DPLL and DPLL Modulo Theories Robert Nieuwenhuis , Albert Oliveras , and Cesare Tinelli We introduce Abstract DPLL, a general and simple abstract rule-based formulation of the Davi...
Robert Nieuwenhuis, Albert Oliveras, Cesare Tinell...