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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
MICRO
2009
IEEE
148views Hardware» more  MICRO 2009»
16 years 1 months ago
Flip-N-Write: a simple deterministic technique to improve PRAM write performance, energy and endurance
The phase-change random access memory (PRAM) technology is fast maturing to production levels. Main advantages of PRAM are non-volatility, byte addressability, in-place programmab...
Sangyeun Cho, Hyunjin Lee
CIKM
2009
Springer
16 years 1 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
SEMWEB
2009
Springer
16 years 1 months ago
What Four Million Mappings Can Tell You about Two Hundred Ontologies
The field of biomedicine has embraced the Semantic Web probably more than any other field. As a result, there is a large number of biomedical ontologies covering overlapping area...
Amir Ghazvinian, Natalya Fridman Noy, Clement Jonq...
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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