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ICML
2001
IEEE
14 years 9 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
ICA
2004
Springer
14 years 2 months ago
Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures
Abstract. Recently, the authors developed the Minimax Mutual Information algorithm for linear ICA of real-valued mixtures, which is based on a density estimate stemming from Jaynes...
Jian-Wu Xu, Deniz Erdogmus, Yadunandana N. Rao, Jo...
IJCAI
2007
13 years 10 months ago
A Ranking Approach to Pronoun Resolution
We propose a supervised maximum entropy ranking approach to pronoun resolution as an alternative to commonly used classification-based approaches. Classification approaches cons...
Pascal Denis, Jason Baldridge
AI
1998
Springer
13 years 8 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga
ICC
2007
IEEE
14 years 3 months ago
Precoded Block-Spread CDMA with Maximum User Support and Frequency-Domain Equalization
Abstract—Block-spread code-division multiple access (BSCDMA) is a bandwidth efficient method by which multiple users can utilize a transmission medium simultaneously. One specia...
Justin P. Coon