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ICML
2007
IEEE
16 years 7 months ago
Boosting for transfer learning
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu
CN
2007
115views more  CN 2007»
15 years 6 months ago
Energy-aware QoS for application sessions across multiple protocol domains in mobile computing
The proliferation of heterogeneous devices and diverse networking technologies demands flexible models to guarantee the quality-of-service(QoS) at the application session level, ...
Hanping Lufei, Weisong Shi
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
16 years 7 months ago
On the need for time series data mining benchmarks: a survey and empirical demonstration
In the last decade there has been an explosion of interest in mining time series data. Literally hundreds of papers have introduced new algorithms to index, classify, cluster and s...
Eamonn J. Keogh, Shruti Kasetty
BIRTHDAY
2009
Springer
16 years 1 months ago
A Semantical Account of Progression in the Presence of Defaults
In previous work, we proposed a modal fragment of the situation calculus called ES, which fully captures Reiter’s basic action theories. ES also has epistemic features, includin...
Gerhard Lakemeyer, Hector J. Levesque
ICCS
2009
Springer
16 years 1 months ago
Experience with Approximations in the Trust-Region Parallel Direct Search Algorithm
Recent years have seen growth in the number of algorithms designed to solve challenging simulation-based nonlinear optimization problems. One such algorithm is the Trust-Region Par...
S. M. Shontz, V. E. Howle, P. D. Hough