Sciweavers

108 search results - page 13 / 22
» Randomized Optimum Models for Structured Prediction
Sort
View
NIPS
1998
13 years 9 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
BMCBI
2008
146views more  BMCBI 2008»
13 years 7 months ago
Can molecular dynamics simulations help in discriminating correct from erroneous protein 3D models?
Background: Recent approaches for predicting the three-dimensional (3D) structure of proteins such as de novo or fold recognition methods mostly rely on simplified energy potentia...
Jean-François Taly, Antoine Marin, Jean-Fra...
DSS
2006
170views more  DSS 2006»
13 years 7 months ago
Adoption of internet banking: An empirical study in Hong Kong
This study investigates how customers perceive and adopt Internet Banking (IB) in Hong Kong. We developed a theoretical model based on the Technology Acceptance Model (TAM) with a...
T. C. Edwin Cheng, David Y. C. Lam, Andy C. L. Yeu...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 8 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
CVPR
2012
IEEE
11 years 10 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....