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» Learning Generative Models with the Up-Propagation Algorithm
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NAACL
2007
13 years 11 months ago
Unsupervised Natural Language Processing Using Graph Models
In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevai...
Chris Biemann
ILP
2007
Springer
14 years 4 months ago
Applying Inductive Logic Programming to Process Mining
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...
Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Serg...
TKDE
2008
123views more  TKDE 2008»
13 years 10 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
VLDB
2008
ACM
147views Database» more  VLDB 2008»
14 years 10 months ago
Providing k-anonymity in data mining
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
Arik Friedman, Ran Wolff, Assaf Schuster
SCALESPACE
2007
Springer
14 years 4 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré