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ICML
2000
IEEE
15 years 10 months ago
Less is More: Active Learning with Support Vector Machines
We describe a simple active learning heuristic which greatly enhances the generalization behavior of support vector machines (SVMs) on several practical document classification ta...
Greg Schohn, David Cohn
ASPLOS
2000
ACM
15 years 2 months ago
Software Profiling for Hot Path Prediction: Less is More
Recently, there has been a growing interest in exploiting profile information in adaptive systems such as just-in-time compilers, dynamic optimizers and, binary translators. In th...
Evelyn Duesterwald, Vasanth Bala
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
14 years 11 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
MANSCI
2010
104views more  MANSCI 2010»
14 years 8 months ago
Valuing Money and Things: Why a $20 Item Can Be Worth More and Less Than $20
The study of risky decision-making has long used monetary gambles to study choice, but many everyday decisions do not involve the prospect of winning or losing money. Monetary gam...
A. Peter McGraw, Eldar Shafir, Alexander Todorov
IUI
2003
ACM
15 years 3 months ago
MORE for less: model recovery from visual interfaces for multi-device application design
An emerging approach to multi-device application development developers to build an abstract semantic model that is translated into specific implementations for web browsers, PDAs...
Yves Gaeremynck, Lawrence D. Bergman, Tessa A. Lau