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COCO
2001
Springer
149views Algorithms» more  COCO 2001»
15 years 9 months ago
Quantum versus Classical Learnability
Motivated by recent work on quantum black-box query complexity, we consider quantum versions of two wellstudied models of learning Boolean functions: Angluin’s model of exact le...
Rocco A. Servedio, Steven J. Gortler
165
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ICML
2007
IEEE
16 years 5 months ago
Discriminative Gaussian process latent variable model for classification
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
Raquel Urtasun, Trevor Darrell
EMNLP
2010
15 years 2 months ago
Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
Tom Kwiatkowksi, Luke S. Zettlemoyer, Sharon Goldw...
ICML
2005
IEEE
16 years 5 months ago
Learning to rank using gradient descent
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
Christopher J. C. Burges, Tal Shaked, Erin Renshaw...
AGILEDC
2008
IEEE
15 years 11 months ago
Coding Dojo: An Environment for Learning and Sharing Agile Practices
A Coding Dojo is a meeting where a group of programmers gets together to learn, practice, and share experiences. This report describes the authors’ experience of creating and ru...
Danilo T. Sato, Hugo Corbucci, Mariana V. Bravo