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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
14 years 1 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
KDD
2010
ACM
240views Data Mining» more  KDD 2010»
14 years 1 months ago
Diagnosing memory leaks using graph mining on heap dumps
Memory leaks are caused by software programs that prevent the reclamation of memory that is no longer in use. They can cause significant slowdowns, exhaustion of available storag...
Evan K. Maxwell, Godmar Back, Naren Ramakrishnan
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
14 years 1 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
GROUP
2007
ACM
14 years 1 months ago
Suitable notification intensity: the dynamic awareness system
Being aware of others' activities has played a vital role in the success of online collaboration. This resulted in the emergence of many groupware systems that provide users ...
Yao Wang, Wolfgang Gräther, Wolfgang Prinz
GLVLSI
2009
IEEE
126views VLSI» more  GLVLSI 2009»
14 years 1 months ago
An efficient cut enumeration for depth-optimum technology mapping for LUT-based FPGAs
Recent technology mappers for LUT based FPGAs employ cut enumeration. Although many cuts are often needed to nd good network, enumerating all cuts with large size consumes run-tim...
Taiga Takata, Yusuke Matsunaga
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