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» An Experimental Study on Feature Subset Selection Methods
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MHCI
2009
Springer
15 years 10 months ago
Sweep-Shake: finding digital resources in physical environments
In this article we describe the Sweep-Shake system, a novel, low interaction cost approach to supporting the spontaneous discovery of geo-located information. By sweeping a mobile...
Simon Robinson, Parisa Eslambolchilar, Matt Jones
SSD
2005
Springer
105views Database» more  SSD 2005»
15 years 9 months ago
Evaluation of Top-k OLAP Queries Using Aggregate R-Trees
Abstract. A top-k OLAP query groups measures with respect to some abstraction level of interesting dimensions and selects the k groups with the highest aggregate value. An example ...
Nikos Mamoulis, Spiridon Bakiras, Panos Kalnis
IJCNN
2008
IEEE
15 years 10 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
ICML
2002
IEEE
16 years 4 months ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
KDD
2004
ACM
330views Data Mining» more  KDD 2004»
16 years 4 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof