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» Closed Sets for Labeled Data
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NLE
2008
140views more  NLE 2008»
15 years 4 months ago
Active learning and logarithmic opinion pools for HPSG parse selection
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
Jason Baldridge, Miles Osborne
ACML
2009
Springer
15 years 9 months ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg
VL
1993
IEEE
159views Visual Languages» more  VL 1993»
15 years 8 months ago
A Visual Logic Programming Language Based on Sets and Partitioning Constraints
This paper presents a new programming language named SPARCL that has four major elements: it is a visual language, it is a logic programming language, it relies on sets to organiz...
Lindsey L. Spratt, Allen L. Ambler
PARA
1995
Springer
15 years 8 months ago
A Proposal for a Set of Parallel Basic Linear Algebra Subprograms
This paper describes a proposal for a set of Parallel Basic Linear Algebra Subprograms PBLAS. The PBLAS are targeted at distributed vector-vector, matrix-vector and matrixmatrix...
Jaeyoung Choi, Jack Dongarra, Susan Ostrouchov, An...
NIPS
2003
15 years 5 months ago
Semi-Supervised Learning with Trees
We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...
Charles Kemp, Thomas L. Griffiths, Sean Stromsten,...