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» The Use of Classifiers in Sequential Inference
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PLDI
2012
ACM
11 years 10 months ago
Automated error diagnosis using abductive inference
When program verification tools fail to verify a program, either the program is buggy or the report is a false alarm. In this situation, the burden is on the user to manually cla...
Isil Dillig, Thomas Dillig, Alex Aiken
HIS
2008
13 years 9 months ago
A Sequential Learning Resource Allocation Network for Image Processing Applications
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...
Stefan Wildermann, Jürgen Teich
JBI
2008
137views Bioinformatics» more  JBI 2008»
13 years 7 months ago
Mining sequential patterns for protein fold recognition
Protein data contain discriminative patterns that can be used in many beneficial applications if they are defined correctly. In this work sequential pattern mining (SPM) is utiliz...
Themis P. Exarchos, Costas Papaloukas, Christos La...
EMNLP
2007
13 years 9 months ago
Joint Morphological and Syntactic Disambiguation
In morphologically rich languages, should morphological and syntactic disambiguation be treated sequentially or as a single problem? We describe several efficient, probabilistica...
Shay B. Cohen, Noah A. Smith
TSP
2008
167views more  TSP 2008»
13 years 5 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...