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» Sparse Additive Machine
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96
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ACL
2010
14 years 10 months ago
Tackling Sparse Data Issue in Machine Translation Evaluation
We illustrate and explain problems of n-grams-based machine translation (MT) metrics (e.g. BLEU) when applied to morphologically rich languages such as Czech. A novel metric SemPO...
Ondrej Bojar, Kamil Kos, David Marecek
99
Voted
NIPS
2003
15 years 1 months ago
Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...
Ingo Steinwart
89
Voted
NIPS
1998
15 years 1 months ago
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
John C. Platt
IPPS
1997
IEEE
15 years 4 months ago
The Sparse Cyclic Distribution against its Dense Counterparts
Several methods have been proposed in the literature for the distribution of data on distributed memory machines, either oriented to dense or sparse structures. Many of the real a...
Gerardo Bandera, Manuel Ujaldon, María A. T...
90
Voted
FGR
2004
IEEE
130views Biometrics» more  FGR 2004»
15 years 4 months ago
Sparse Models for Gender Classification
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
Nicholas Costen, Martin Brown, Shigeru Akamatsu