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JMLR
2006
140views more  JMLR 2006»
15 years 6 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
CVPR
2011
IEEE
15 years 2 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...
CHI
2008
ACM
16 years 7 months ago
Activity-based prototyping of ubicomp applications for long-lived, everyday human activities
We designed an activity-based prototyping process realized in the ActivityDesigner system that combines the theoretical framework of Activity-Centered Design with traditional iter...
Yang Li, James A. Landay
IMSCCS
2007
IEEE
16 years 28 days ago
Asymmetric Bagging and Feature Selection for Activities Prediction of Drug Molecules
Background: Activities of drug molecules can be predicted by QSAR (quantitative structure activity relationship) models, which overcomes the disadvantages of high cost and long cy...
Guo-Zheng Li, Hao-Hua Meng, Mary Qu Yang, Jack Y. ...
ISLPED
2005
ACM
93views Hardware» more  ISLPED 2005»
16 years 6 days ago
Power-aware code scheduling for clusters of active disks
In this paper, we take the idea of application-level processing on disks to one level further, and focus on an architecture, called Cluster of Active Disks (CAD), where the storag...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir