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JMLR
2008
151views more  JMLR 2008»
15 years 3 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
EMNLP
2009
15 years 1 months ago
K-Best Combination of Syntactic Parsers
In this paper, we propose a linear model-based general framework to combine k-best parse outputs from multiple parsers. The proposed framework leverages on the strengths of previo...
Hui Zhang, Min Zhang, Chew Lim Tan, Haizhou Li
104
Voted
CLEF
2006
Springer
15 years 7 months ago
Vocabulary Reduction and Text Enrichment at WebCLEF
Nowadays, cross-lingual Information Retrieval (IR) is one of the greatest challenges to deal with. Besides, one of the most important issues in IR consists in the corpus vocabular...
Franco Rojas López, Héctor Jim&eacut...
116
Voted
WSC
2007
15 years 5 months ago
Combining micro and macro-modeling in DEVS for computational biology
In computational biology there is an increasing need to combine micro and macro views of the system of interest. Therefore, explicit means to describe micro and macro level and th...
Adelinde M. Uhrmacher, Roland Ewald, Mathias John,...
133
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AAAI
2010
15 years 5 months ago
Multi-Instance Dimensionality Reduction
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou