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» A Boosting Algorithm for Regression
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AAAI
2000
15 years 4 months ago
Selective Sampling with Redundant Views
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
Ion Muslea, Steven Minton, Craig A. Knoblock
TEC
2008
139views more  TEC 2008»
15 years 3 months ago
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
Andras Sobester, Prasanth B. Nair, Andy J. Keane
145
Voted
SIGOPS
2010
272views more  SIGOPS 2010»
15 years 1 months ago
The Akamai network: a platform for high-performance internet applications
Comprising more than 61,000 servers located across nearly 1,000 networks in 70 countries worldwide, the Akamai platform delivers hundreds of billions of Internet interactions dail...
Erik Nygren, Ramesh K. Sitaraman, Jennifer Sun
ICDM
2009
IEEE
150views Data Mining» more  ICDM 2009»
15 years 26 days ago
Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection
Anomaly detection is an important data mining task. Most existing methods treat anomalies as inconsistencies and spend the majority amount of time on modeling normal instances. A r...
Xiao Yu, Lu An Tang, Jiawei Han
ISCA
2011
IEEE
225views Hardware» more  ISCA 2011»
14 years 6 months ago
FlexBulk: intelligently forming atomic blocks in blocked-execution multiprocessors to minimize squashes
Blocked-execution multiprocessor architectures continuously run atomic blocks of instructions — also called Chunks. Such architectures can boost both performance and software pr...
Rishi Agarwal, Josep Torrellas