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ICAIL
2003
ACM
14 years 2 months ago
Predicting Outcomes of Case-Based Legal Arguments
In this paper, we introduce IBP, an algorithm that combines g with an abstract domain model and case-based reasoning techniques to predict the outcome of case-based legal argument...
Stefanie Brüninghaus, Kevin D. Ashley
COMPGEOM
2011
ACM
13 years 16 days ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
ICCV
2009
IEEE
15 years 1 months ago
TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation
Image auto-annotation is an important open problem in computer vision. For this task we propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
13 years 11 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
ICALT
2009
IEEE
14 years 3 months ago
Authoring for E-learning 2.0: A Case Study
E-learning 2.0 is a term refers to the second generation of e-learning, which uses the technologies of the Social Web, such as collaborative authoring and social annotation, in or...
Fawaz Ghali, Alexandra I. Cristea