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» Dimension Characterizations of Complexity Classes
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NIPS
2007
13 years 8 months ago
A general agnostic active learning algorithm
We present a simple, agnostic active learning algorithm that works for any hypothesis class of bounded VC dimension, and any data distribution. Our algorithm extends a scheme of C...
Sanjoy Dasgupta, Daniel Hsu, Claire Monteleoni
COLT
1991
Springer
13 years 10 months ago
On the Complexity of Teaching
While most theoretical work in machine learning has focused on the complexity of learning, recently there has been increasing interest in formally studying the complexity of teach...
Sally A. Goldman, Michael J. Kearns
PKDD
2007
Springer
130views Data Mining» more  PKDD 2007»
14 years 1 months ago
Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach
Abstract. Spatial Data Mining (SDM) has great potential in supporting public policy and in underpinning society functioning. One task in SDM is the discovery of characterization an...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
COCO
1990
Springer
50views Algorithms» more  COCO 1990»
13 years 11 months ago
Width-Bounded Reducibility and Binary Search over Complexity Classes
d Abstract) Eric Allender Christopher Wilson Department of Computer Science Department of Computer Rutgers University and Information Science New Brunswick, NJ 08903, USA Universit...
Eric Allender, Christopher B. Wilson
ALT
2004
Springer
14 years 4 months ago
Complexity of Pattern Classes and Lipschitz Property
Rademacher and Gaussian complexities are successfully used in learning theory for measuring the capacity of the class of functions to be learned. One of the most important propert...
Amiran Ambroladze, John Shawe-Taylor