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» An Empirical Comparison of Four Text Mining Methods
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NIPS
2008
15 years 1 months ago
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
Liu Yang, Rong Jin, Rahul Sukthankar
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 6 months ago
Sparse Kernel SVMs via Cutting-Plane Training
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
Thorsten Joachims, Chun-Nam John Yu
ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
15 years 6 months ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...
CIKM
2009
Springer
15 years 6 months ago
Independent informative subgraph mining for graph information retrieval
In order to enable scalable querying of graph databases, intelligent selection of subgraphs to index is essential. An improved index can reduce response times for graph queries si...
Bingjun Sun, Prasenjit Mitra, C. Lee Giles
DOCENG
2003
ACM
15 years 5 months ago
Methods for the semantic analysis of document markup
We present an approach on how to investigate what kind of semantic information is regularly associated with the structural markup of scientific articles. This approach addresses ...
Petra Saskia Bayerl, Harald Lüngen, Daniela G...