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» Evaluating learning algorithms and classifiers
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NIPS
2004
15 years 6 months ago
PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data
We propose a "soft greedy" learning algorithm for building small conjunctions of simple threshold functions, called rays, defined on single real-valued attributes. We al...
Mario Marchand, Mohak Shah
FOCS
2010
IEEE
15 years 2 months ago
Learning Convex Concepts from Gaussian Distributions with PCA
We present a new algorithm for learning a convex set in n-dimensional space given labeled examples drawn from any Gaussian distribution. The complexity of the algorithm is bounded ...
Santosh Vempala
AUSAI
2008
Springer
15 years 6 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan
PAMI
2006
205views more  PAMI 2006»
15 years 4 months ago
Learning Outdoor Color Classification
We present an algorithm for color classification with explicit illuminant estimation and compensation. A Gaussian classifier is trained with color samples from just one training im...
Roberto Manduchi
IAAI
2003
15 years 6 months ago
CriterionSM Online Essay Evaluation: An Application for Automated Evaluation of Student Essays
This paper describes a deployed educational technology application: the CriterionSM Online Essay Evaluation Service, a web-based system that provides automated scoring and evaluat...
Jill Burstein, Martin Chodorow, Claudia Leacock