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NIPS
2004
15 years 7 months ago
Semi-supervised Learning with Penalized Probabilistic Clustering
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
Zhengdong Lu, Todd K. Leen
ML
2008
ACM
100views Machine Learning» more  ML 2008»
15 years 6 months ago
Generalized ordering-search for learning directed probabilistic logical models
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendri...
CORR
2012
Springer
209views Education» more  CORR 2012»
14 years 1 months ago
Aggregation in Probabilistic Databases via Knowledge Compilation
This paper presents a query evaluation technique for positive relational algebra queries with aggregates on a representation system for probabilistic data based on the algebraic s...
Robert Fink, Larisa Han, Dan Olteanu
IPCCC
2007
IEEE
16 years 9 days ago
Adaptive Probabilistic Scheduling for a Cellular Emergency Network
Currently, wireless priority services (WPS) are provided using call queueing with a weighted round-robin schedule based on a fixed parameter. In this paper, we introduce a flexi...
Jiazhen Zhou, C. Beard
ICMCS
2006
IEEE
167views Multimedia» more  ICMCS 2006»
16 years 1 days ago
Mining Relationship Between Video Concepts using Probabilistic Graphical Models
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. These semantic concepts do not exist in isolatio...
Rong Yan, Ming-yu Chen, Alexander G. Hauptmann