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» Semi-supervised Learning from General Unlabeled Data
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AIM
2005
13 years 8 months ago
Semantic Integration in Text: From Ambiguous Names to Identifiable Entities
Intelligent access to information requires semantic integration of structured databases with unstructured textual resources. While the semantic integration problem has been widely...
Xin Li, Paul Morie, Dan Roth
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 1 months ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
FAST
2010
13 years 10 months ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...
KDD
2009
ACM
133views Data Mining» more  KDD 2009»
14 years 8 months ago
On the tradeoff between privacy and utility in data publishing
In data publishing, anonymization techniques such as generalization and bucketization have been designed to provide privacy protection. In the meanwhile, they reduce the utility o...
Tiancheng Li, Ninghui Li
MICCAI
2010
Springer
13 years 6 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...