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APPROX
2008
Springer
127views Algorithms» more  APPROX 2008»
15 years 7 months ago
Approximating Single Machine Scheduling with Scenarios
In the field of robust optimization, the goal is to provide solutions to combinatorial problems that hedge against variations of the numerical parameters. This constitutes an effor...
Monaldo Mastrolilli, Nikolaus Mutsanas, Ola Svenss...
LREC
2008
114views Education» more  LREC 2008»
15 years 6 months ago
Improving Statistical Machine Translation Efficiency by Triangulation
In current phrase-based Statistical Machine Translation systems, more training data is generally better than less. However, a larger data set eventually introduces a larger model ...
Yu Chen, Andreas Eisele, Martin Kay
127
Voted
NAACL
2007
15 years 6 months ago
Automatic Evaluation of Machine Translation Based on Rate of Accomplishment of Sub-Goals
The quality of a sentence translated by a machine translation (MT) system is difficult to evaluate. We propose a method for automatically evaluating the quality of each translati...
Kiyotaka Uchimoto, Katsunori Kotani, Yujie Zhang, ...
APBC
2003
128views Bioinformatics» more  APBC 2003»
15 years 6 months ago
Machine Learning in DNA Microarray Analysis for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
Sung-Bae Cho, Hong-Hee Won
145
Voted
IJON
2006
161views more  IJON 2006»
15 years 5 months ago
Evolving hybrid ensembles of learning machines for better generalisation
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
Arjun Chandra, Xin Yao