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ALT
1998
Springer
15 years 6 months ago
Predictive Learning Models for Concept Drift
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
John Case, Sanjay Jain, Susanne Kaufmann, Arun Sha...
ICDE
2000
IEEE
130views Database» more  ICDE 2000»
16 years 3 months ago
CMP: A Fast Decision Tree Classifier Using Multivariate Predictions
Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this ...
Haixun Wang, Carlo Zaniolo
131
Voted
ASPLOS
2008
ACM
15 years 4 months ago
Accurate branch prediction for short threads
Multi-core processors, with low communication costs and high availability of execution cores, will increase the use of execution and compilation models that use short threads to e...
Bumyong Choi, Leo Porter, Dean M. Tullsen
LREC
2010
119views Education» more  LREC 2010»
15 years 4 months ago
Predicting Morphological Types of Chinese Bi-Character Words by Machine Learning Approaches
This paper presented an overview of Chinese bi-character words' morphological types, and proposed a set of features for machine learning approaches to predict these types bas...
Ting-Hao Huang, Lun-Wei Ku, Hsin-Hsi Chen
154
Voted
DATE
2009
IEEE
119views Hardware» more  DATE 2009»
15 years 5 months ago
Predictive models for multimedia applications power consumption based on use-case and OS level analysis
—Power management at any abstraction level is a key issue for many mobile multimedia and embedded applications. In this paper a design workflow to generate system-level power mo...
Patrick Bellasi, William Fornaciari, David Siorpae...