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FLAIRS
2004
15 years 8 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
JDA
2008
94views more  JDA 2008»
15 years 6 months ago
Approximability of partitioning graphs with supply and demand
Suppose that each vertex of a graph G is either a supply vertex or a demand vertex and is assigned a positive real number, called the supply or the demand. Each demand vertex can ...
Takehiro Ito, Erik D. Demaine, Xiao Zhou, Takao Ni...
EAAI
2007
135views more  EAAI 2007»
15 years 6 months ago
Automatic generation of explanations: AGE
Explaining how engineering devices work is important to students, engineers, and operators. In general, machine generated explanations have been produced from a particular perspec...
Silvia B. González-Brambila, Eduardo F. Mor...
ICIP
2010
IEEE
15 years 4 months ago
Transform-domain temporal prediction in video coding: Exploiting correlation variation across coefficients
Temporal prediction in standard video coding is performed in the spatial domain, where each pixel is predicted from a motioncompensated reconstructed pixel in a prior frame. This ...
Jingning Han, Vinay Melkote, Kenneth Rose
NAACL
2010
15 years 4 months ago
Model Combination for Machine Translation
Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from di...
John DeNero, Shankar Kumar, Ciprian Chelba, Franz ...