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» Data structures and problem solving using Java
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143
Voted
JMLR
2008
150views more  JMLR 2008»
15 years 3 months ago
Discriminative Learning of Max-Sum Classifiers
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
Vojtech Franc, Bogdan Savchynskyy
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
16 years 4 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
220
Voted
ICDE
2004
IEEE
90views Database» more  ICDE 2004»
16 years 5 months ago
Multiresolution Indexing of XML for Frequent Queries
XML and other types of semi-structured data are typically represented by a labeled directed graph. To speed up path expression queries over the graph, a variety of structural inde...
Hao He, Jun Yang 0001
151
Voted
TELECARE
2004
184views Healthcare» more  TELECARE 2004»
15 years 5 months ago
Securing Mobile Agent Based Tele-Assistance Systems
Nowadays the scientific community is trying to design new techniques in the search for solving security problems in mobile agent technology. There are now some industry initiatives...
Sergio Pozo, Rafael M. Gasca, María Teresa ...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 4 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye