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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 1 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
SISAP
2009
IEEE
149views Data Mining» more  SISAP 2009»
16 years 1 months ago
Combinatorial Framework for Similarity Search
—We present an overview of the combinatorial framework for similarity search. An algorithm is combinatorial if only direct comparisons between two pairwise similarity values are ...
Yury Lifshits
ICDM
2009
IEEE
164views Data Mining» more  ICDM 2009»
16 years 1 months ago
iTopicModel: Information Network-Integrated Topic Modeling
—Document networks, i.e., networks associated with text information, are becoming increasingly popular due to the ubiquity of Web documents, blogs, and various kinds of online da...
Yizhou Sun, Jiawei Han, Jing Gao, Yintao Yu
ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
16 years 1 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic
DASFAA
2008
IEEE
190views Database» more  DASFAA 2008»
16 years 1 months ago
Analysis of Time Series Using Compact Model-Based Descriptions
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
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