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116
Voted
WFLP
2000
Springer
148views Algorithms» more  WFLP 2000»
15 years 6 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
15 years 2 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
150
Voted
ML
2010
ACM
181views Machine Learning» more  ML 2010»
15 years 29 days 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
122
Voted
TAL
2010
Springer
15 years 28 days 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...
100
Voted
PVM
2009
Springer
15 years 9 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...