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JMLR
2010
149views more  JMLR 2010»
15 years 1 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
CVPR
2011
IEEE
14 years 10 months ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
AAAI
2006
15 years 8 months ago
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 9 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
MLMI
2004
Springer
16 years 1 days ago
The NITE XML Toolkit Meets the ICSI Meeting Corpus: Import, Annotation, and Browsing
The NITE XML Toolkit (NXT) provides library support for working with multimodal language corpora. We describe work in progress to explore its potential for the AMI project by appl...
Jean Carletta, Jonathan Kilgour