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ACL
2009
15 years 4 months ago
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
Minimum Error Rate Training (MERT) and Minimum Bayes-Risk (MBR) decoding are used in most current state-of-theart Statistical Machine Translation (SMT) systems. The algorithms wer...
Shankar Kumar, Wolfgang Macherey, Chris Dyer, Fran...
SIGIR
2011
ACM
14 years 9 months ago
No free lunch: brute force vs. locality-sensitive hashing for cross-lingual pairwise similarity
This work explores the problem of cross-lingual pairwise similarity, where the task is to extract similar pairs of documents across two different languages. Solutions to this pro...
Ferhan Ture, Tamer Elsayed, Jimmy J. Lin
136
Voted
NN
2006
Springer
15 years 6 months ago
Rapid decision threshold modulation by reward rate in a neural network
Optimal performance in two-alternative, free response decision making tasks can be achieved by the drift-diffusion model of decision making - which can be implemented in a neural ...
Patrick Simen, Jonathan D. Cohen, Philip Holmes
129
Voted
ASPDAC
2000
ACM
95views Hardware» more  ASPDAC 2000»
15 years 10 months ago
Retargetable estimation scheme for DSP architecture selection
— Given the recent wave of innovation and diversification in digital signal processor (DSP) architecture, the need for quickly evaluating the true potential of considered archite...
Naji Ghazal, A. Richard Newton, Jan M. Rabaey
TWC
2010
15 years 1 months ago
A fixed-lag particle smoother for blind SISO equalization of time-varying channels
We introduce a new sequential importance sampling (SIS) algorithm which propagates in time a Monte Carlo approximation of the posterior fixed-lag smoothing distribution of the symb...
Alberto Gaspar Guimarães, Boujemaa Ait-El-F...