Sciweavers

359 search results - page 13 / 72
» A Constrained Semi-supervised Learning Approach to Data Asso...
Sort
View
COLING
2002
13 years 7 months ago
The Computation of Word Associations: Comparing Syntagmatic and Paradigmatic Approaches
It is shown that basic language processes such as the production of free word associations and the generation of synonyms can be simulated using statistical models that analyze th...
Reinhard Rapp
ICML
2004
IEEE
14 years 8 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
13 years 11 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....
IQ
2007
13 years 9 months ago
An Alert Management Approach To Data Quality: Lessons Learned From The Visa Data Authority Program
: We introduce an end-to-end framework for data quality that integrates business strategy, data quality models, and supporting investigative and governance processes. We also descr...
Joseph Bugajski, Robert L. Grossman
ECCV
2010
Springer
13 years 10 months ago
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...