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ACL
2006
15 years 1 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
BMCBI
2010
224views more  BMCBI 2010»
14 years 12 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
AOSD
2009
ACM
15 years 3 months ago
Semantic vs. syntactic compositions in aspect-oriented requirements engineering: an empirical study
Most current aspect composition mechanisms rely on syntactic references to the base modules or wildcard mechanisms quantifying over such syntactic references in pointcut expressio...
Ruzanna Chitchyan, Phil Greenwood, Américo ...
IJCV
2006
161views more  IJCV 2006»
14 years 11 months ago
Discriminative Random Fields
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
Sanjiv Kumar, Martial Hebert
CORR
2004
Springer
151views Education» more  CORR 2004»
14 years 11 months ago
Finite-Tree Analysis for Constraint Logic-Based Languages: The Complete Unabridged Version
Logic languages based on the theory of rational, possibly infinite, trees have much appeal in that rational trees allow for faster unification (due to the safe omission of the occ...
Roberto Bagnara, Roberta Gori, Patricia M. Hill, E...