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156
Voted
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 4 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
151
Voted
ICCV
1998
IEEE
15 years 8 months ago
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu
150
Voted
BMCBI
2011
14 years 10 months ago
A quality metric for homology modeling: the H-factor
Background: The analysis of protein structures provides fundamental insight into most biochemical functions and consequently into the cause and possible treatment of diseases. As ...
Eric di Luccio, Patrice Koehl
173
Voted
ICFP
2001
ACM
16 years 3 months ago
Functioning without Closure: Type-Safe Customized Function Representations for Standard ML
The CIL compiler for core Standard ML compiles whole ML programs using a novel typed intermediate language that supports the generation of type-safe customized data representation...
Allyn Dimock, Ian Westmacott, Robert Muller, Frank...
116
Voted
LREC
2010
135views Education» more  LREC 2010»
15 years 5 months ago
Partial Dependency Parsing for Irish
In this paper we present a partial dependency parser for Irish, in which Constraint Grammar (CG) rules are used to annotate dependency relations and grammatical functions in unres...
Elaine Uí Dhonnchadha, Josef van Genabith