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» Measuring and Predicting Object Importance
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PAKDD
2005
ACM
180views Data Mining» more  PAKDD 2005»
14 years 4 months ago
Conditional Random Fields for Transmembrane Helix Prediction
Abstract. It is estimated that 20% of genes in the human genome encode for integral membrane proteins (IMPs) and some estimates are much higher. IMPs control a broad range of event...
Lior Lukov, Sanjay Chawla, W. Bret Church
DATE
2003
IEEE
116views Hardware» more  DATE 2003»
14 years 4 months ago
An Analytical Model for Predicting the Remaining Battery Capacity of Lithium-Ion Batteries
Predicting the residual energy of the battery source that powers a portable electronic device is quite important in designing and employing an effective dynamic power management p...
Peng Rong, Massoud Pedram
ICML
2001
IEEE
14 years 11 months ago
Bayesian approaches to failure prediction for disk drives
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
Greg Hamerly, Charles Elkan
EDBT
2012
ACM
291views Database» more  EDBT 2012»
12 years 1 months ago
Relevance search in heterogeneous networks
Conventional research on similarity search focuses on measuring the similarity between objects with the same type. However, in many real-world applications, we need to measure the...
Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie...
TKDE
2008
128views more  TKDE 2008»
13 years 10 months ago
Using Context to Improve Predictive Modeling of Customers in Personalization Applications
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much t...
Cosimo Palmisano, Alexander Tuzhilin, Michele Gorg...