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CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 1 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
SIGARCH
2008
152views more  SIGARCH 2008»
14 years 9 months ago
OpenDF: a dataflow toolset for reconfigurable hardware and multicore systems
This paper presents the OpenDF framework and recalls that dataflow programming was once invented to address the problem of parallel computing. We discuss the problems with an impe...
Shuvra S. Bhattacharyya, Gordon J. Brebner, Jö...
CAV
2010
Springer
239views Hardware» more  CAV 2010»
14 years 11 months ago
Universal Causality Graphs: A Precise Happens-Before Model for Detecting Bugs in Concurrent Programs
Triggering errors in concurrent programs is a notoriously difficult task. A key reason for this is the behavioral complexity resulting from the large number of interleavings of op...
Vineet Kahlon, Chao Wang
CORR
2011
Springer
215views Education» more  CORR 2011»
14 years 1 months ago
Lasserre Hierarchy, Higher Eigenvalues, and Approximation Schemes for Quadratic Integer Programming with PSD Objectives
We present an approximation scheme for optimizing certain Quadratic Integer Programming problems with positive semidefinite objective functions and global linear constraints. Thi...
Venkatesan Guruswami, Ali Kemal Sinop
PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
15 years 3 months ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk