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» Label Ranking Methods based on the Plackett-Luce Model
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SAC
2010
ACM
14 years 6 months ago
Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models
The label switching problem is caused by the likelihood of a Bayesian mixture model being invariant to permutations of the labels. The permutation can change multiple times betwee...
M. Sperrin, Thomas Jaki, E. Wit
AMDO
2006
Springer
15 years 3 months ago
Transferring a Labeled Generic Rig to Animate Face Models
We present a facial deformation system that adapts a generic facial rig into different face models. The deformation is based on labels and allows transferring specific facial feat...
Verónica Costa Teixeira Orvalho, Ernesto Za...
COLT
2005
Springer
15 years 5 months ago
A PAC-Style Model for Learning from Labeled and Unlabeled Data
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
Maria-Florina Balcan, Avrim Blum
EMNLP
2008
15 years 1 months ago
Adding Redundant Features for CRFs-based Sentence Sentiment Classification
In this paper, we present a novel method based on CRFs in response to the two special characteristics of "contextual dependency" and "label redundancy" in sent...
Jun Zhao, Kang Liu, Gen Wang
ASE
2010
86views more  ASE 2010»
14 years 12 months ago
Stable rankings for different effort models
There exists a large and growing number of proposed estimation methods but little conclusive evidence ranking one method over another. Prior effort estimation studies suffered fro...
Tim Menzies, Omid Jalali, Jairus Hihn, Daniel Bake...