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» The Linear Logical Abstract Machine
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KDD
2010
ACM
249views Data Mining» more  KDD 2010»
14 years 11 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
90
Voted
CORR
2006
Springer
130views Education» more  CORR 2006»
14 years 9 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
ICLP
2007
Springer
15 years 3 months ago
Automatic Correctness Proofs for Logic Program Transformations
Abstract. The many approaches which have been proposed in the literature for proving the correctness of unfold/fold program transformations, consist in associating suitable well-fo...
Alberto Pettorossi, Maurizio Proietti, Valerio Sen...
ASPDAC
1998
ACM
101views Hardware» more  ASPDAC 1998»
15 years 1 months ago
An Integrated Flow for Technology Remapping and Placement of Sub-half-micron Circuits
ABSTRACT - This paper presents a new design flow, FPDSiMPA, and a set of techniques for synthesizing high-performance sub-half micron logic circuits. FPD-SiMPA consists of logic p...
Jinan Lou, Amir H. Salek, Massoud Pedram
ICLP
1992
Springer
15 years 1 months ago
Records for Logic Programming
CFT is a new constraint system providing records as logical data structure for constraint (logic) programming. It can be seen as a generalization of the rational tree system emplo...
Gert Smolka, Ralf Treinen