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MICCAI
2010
Springer
15 years 3 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
126
Voted
EMNLP
2010
15 years 2 months ago
A Mixture Model with Sharing for Lexical Semantics
We introduce tiered clustering, a mixture model capable of accounting for varying degrees of shared (context-independent) feature structure, and demonstrate its applicability to i...
Joseph Reisinger, Raymond J. Mooney
126
Voted
NAACL
2003
15 years 6 months ago
Weakly Supervised Natural Language Learning Without Redundant Views
We investigate single-view algorithms as an alternative to multi-view algorithms for weakly supervised learning for natural language processing tasks without a natural feature spl...
Vincent Ng, Claire Cardie
179
Voted
SDM
2012
SIAM
307views Data Mining» more  SDM 2012»
13 years 7 months ago
Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks
Link prediction is an important task in social networks and data mining for understanding the mechanisms by which the social networks form and evolve. In most link prediction rese...
Liang Ge, Aidong Zhang
207
Voted
IJCNN
2008
IEEE
15 years 11 months ago
Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
—In motor imagery-based Brain Computer Interfaces (BCI), discriminative patterns can be extracted from the electroencephalogram (EEG) using the Common Spatial Pattern (CSP) algor...
Kai Keng Ang, Zhang Yang Chin, Haihong Zhang, Cunt...