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» On the Complexity of Function Learning
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IPL
2011
131views more  IPL 2011»
14 years 7 months ago
The regularized least squares algorithm and the problem of learning halfspaces
We provide sample complexity of the problem of learning halfspaces with monotonic noise, using the regularized least squares algorithm in the reproducing kernel Hilbert spaces (RKH...
Ha Quang Minh
HICSS
2007
IEEE
122views Biometrics» more  HICSS 2007»
15 years 7 months ago
Learning Conversations in World of Warcraft
We examine learning culture in a popular online game, World of Warcraft. We analyze the way players learn this complex game through chat conversation with peers. We describe three...
Bonnie A. Nardi, Stella Ly, Justin Harris
99
Voted
ICML
2010
IEEE
15 years 1 months ago
Large Scale Max-Margin Multi-Label Classification with Priors
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...
Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vis...
ICML
1996
IEEE
16 years 1 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
107
Voted
HPDC
2007
IEEE
15 years 7 months ago
Precise and realistic utility functions for user-centric performance analysis of schedulers
Utility functions can be used to represent the value users attach to job completion as a function of turnaround time. Most previous scheduling research used simple synthetic repre...
Cynthia Bailey Lee, Allan Snavely