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JMLR
2012
11 years 10 months ago
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
Alexandre Lacoste, François Laviolette, Mar...
IUCS
2009
ACM
14 years 2 months ago
Utilizing semantic equivalence classes of Japanese functional expressions in machine translation
This paper applied “Sandglass” machine translation architecture to the task of translating Japanese functional expressions into English. We employ the semantic equivalence cla...
Akiko Sakamoto, Takehito Utsuro, Suguru Matsuyoshi
EMSOFT
2006
Springer
13 years 11 months ago
Mixing signals and modes in synchronous data-flow systems
Synchronous data-flow languages such as Scade/Lustre manage infinite sequences, or streams, as primitive values making them naturally adapted to the description of datadominated s...
Jean-Louis Colaço, Grégoire Hamon, M...
NLPRS
2001
Springer
14 years 14 days ago
Long Sentence Partitioning using Structure Analysis for Machine Translation
in machine translation, long sentences are usually assumed to be difficult to treat. The main reason is the syntactic ambiguity which increases explosively as a sentence become lo...
Yoon-Hyung Roh, Young Ae Seo, Ki-Young Lee, Sung-K...
ML
2002
ACM
223views Machine Learning» more  ML 2002»
13 years 7 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann