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WFLP
2000
Springer
148views Algorithms» more  WFLP 2000»
14 years 1 months ago
The Use of Functional and Logic Languages in Machine Learning
Abstract. Traditionally, machine learning algorithms such as decision tree learners have employed attribute-value representations. From the early 80's on people have started t...
Peter A. Flach
SAC
2006
ACM
13 years 9 months ago
Transformation of B specifications into UML class diagrams and state machines
We propose a rule-based approach for transforming B abstract machines into UML diagrams. We believe that important insight into the structure underlying a B model can be gained by...
Houda Fekih, Leila Jemni Ben Ayed, Stephan Merz
ML
2010
ACM
181views Machine Learning» more  ML 2010»
13 years 8 months ago
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
David R. Hardoon, John Shawe-Taylor
TAL
2010
Springer
13 years 8 months ago
OpenMaTrEx: A Free/Open-Source Marker-Driven Example-Based Machine Translation System
Abstract. We describe OpenMaTrEx, a free/open-source examplebased machine translation (EBMT) system based on the marker hypothesis, comprising a marker-driven chunker, a collection...
Sandipan Dandapat, Mikel L. Forcada, Declan Groves...
PVM
2009
Springer
14 years 4 months ago
Optimizing MPI Runtime Parameter Settings by Using Machine Learning
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
Simone Pellegrini, Jie Wang, Thomas Fahringer, Han...