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» Ensemble Methods in Machine Learning
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NAACL
2007
15 years 5 months ago
Chinese Named Entity Recognition with Cascaded Hybrid Model
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...
Xiaofeng Yu
DGO
2004
110views Education» more  DGO 2004»
15 years 5 months ago
Question Answering Performance on Table Data
Question answering (QA) on table data is a challenging information retrieval task. This paper describes a QA system for tables created with both machine learning and heuristic tab...
Xing Wei, W. Bruce Croft, David Pinto
ESA
2010
Springer
227views Algorithms» more  ESA 2010»
15 years 5 months ago
Approximating Parameterized Convex Optimization Problems
We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an -approximat...
Joachim Giesen, Martin Jaggi, Sören Laue
TKDE
2008
152views more  TKDE 2008»
15 years 4 months ago
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Deng Cai, Xiaofei He, Jiawei Han
CJ
1998
118views more  CJ 1998»
15 years 3 months ago
Least-Squares Structuring, Clustering and Data Processing Issues
Approximation structuring clustering is an extension of what is usually called square-error clustering" onto various cluster structures and data formats. It appears to be not...
Boris Mirkin