Sciweavers

122 search results - page 10 / 25
» Using Model Counting to Find Optimal Distinguishing Tests
Sort
View
77
Voted
EMNLP
2009
14 years 7 months ago
Consensus Training for Consensus Decoding in Machine Translation
We propose a novel objective function for discriminatively tuning log-linear machine translation models. Our objective explicitly optimizes the BLEU score of expected n-gram count...
Adam Pauls, John DeNero, Dan Klein
89
Voted
BMCBI
2006
161views more  BMCBI 2006»
14 years 9 months ago
A novel approach to phylogenetic tree construction using stochastic optimization and clustering
Background: The problem of inferring the evolutionary history and constructing the phylogenetic tree with high performance has become one of the major problems in computational bi...
Ling Qin, Yixin Chen, Yi Pan, Ling Chen
ISMIR
2004
Springer
111views Music» more  ISMIR 2004»
15 years 3 months ago
Optimizing Measures Of Melodic Similarity For The Exploration Of A Large Folk Song Database
This investigation aims at finding an optimal way of measuring the similarity of melodies. The applicability for an automated analysis and classification was tested on a folk song...
Daniel Müllensiefen, Klaus Frieler
89
Voted
BMCBI
2004
97views more  BMCBI 2004»
14 years 9 months ago
Performance of a genetic algorithm for mass spectrometry proteomics
Background: Recently, mass spectrometry data have been mined using a genetic algorithm to produce discriminatory models that distinguish healthy individuals from those with cancer...
Neal O. Jeffries
ICIP
2010
IEEE
14 years 7 months ago
3D augmented Markov random field for object recognition
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
Wei Yu, Ahmed Bilal Ashraf, Yao-Jen Chang, Congcon...