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KDD
2004
ACM
151views Data Mining» more  KDD 2004»
14 years 11 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
14 years 9 days ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
ICCD
2008
IEEE
192views Hardware» more  ICCD 2008»
14 years 7 months ago
Energy-aware opcode design
— Embedded processors are required to achieve high performance while running on batteries. Thus, they must exploit all the possible means available to reduce energy consumption w...
Balaji V. Iyer, Jason A. Poovey, Thomas M. Conte
CORR
2011
Springer
183views Education» more  CORR 2011»
13 years 2 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
ICDE
2003
IEEE
211views Database» more  ICDE 2003»
15 years 6 days ago
Capturing Sensor-Generated Time Series with Quality Guarantees
We are interested in capturing time series generated by small wireless electronic sensors. Battery-operated sensors must avoid heavy use of their wireless radio which is a key cau...
Iosif Lazaridis, Sharad Mehrotra