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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 7 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
13 years 5 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
ICDM
2009
IEEE
147views Data Mining» more  ICDM 2009»
13 years 5 months ago
Greedy Optimization for Contiguity-Constrained Hierarchical Clustering
The discovery and construction of inherent regions in large spatial datasets is an important task for many research domains such as climate zoning, eco-region analysis, public heal...
Diansheng Guo
SDM
2012
SIAM
282views Data Mining» more  SDM 2012»
11 years 9 months ago
Citation Prediction in Heterogeneous Bibliographic Networks
To reveal information hiding in link space of bibliographical networks, link analysis has been studied from different perspectives in recent years. In this paper, we address a no...
Xiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han
IJVR
2008
111views more  IJVR 2008»
13 years 7 months ago
Improve a Game Board based on Cultural Algorithms
Evolutionary computation is a generic term used to make reference to the solution of computational problems planned and implemented based on models of an evolutionary process. Most...
Alberto Ochoa, Alejandro Padilla, Saúl Gonz...