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ACL
2011
14 years 10 months ago
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
In statistical machine translation, a researcher seeks to determine whether some innovation (e.g., a new feature, model, or inference algorithm) improves translation quality in co...
Jonathan H. Clark, Chris Dyer, Alon Lavie, Noah A....
ICPR
2004
IEEE
16 years 7 months ago
Optimally Regularised Kernel Fisher Discriminant Analysis
Mika et al. [3] introduce a non-linear formulation of Fisher's linear discriminant, based the now familiar "kernel trick", demonstrating state-of-the-art performanc...
Gavin C. Cawley, Kamel Saadi, Nicola L. C. Talbot
ICPR
2002
IEEE
16 years 7 months ago
An Iterative Algorithm for Optimal Style Conscious Field Classification
Modeling consistency of style in isogenous fields of patterns (such as character patterns in a word from the same font or writer) can improve classification accuracy. Since such p...
Prateek Sarkar
ICML
2008
IEEE
16 years 7 months ago
Optimizing estimated loss reduction for active sampling in rank learning
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
Pinar Donmez, Jaime G. Carbonell
VLSID
2005
IEEE
89views VLSI» more  VLSID 2005»
16 years 7 months ago
Power Optimization in Current Mode Circuits
We propose a method to minimize power dissipation in current-mode CMOS analog and multiple-valued logic (MVL) circuits employing a stack of current comparators. First, we present ...
M. S. Bhat, H. S. Jamadagni