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ESANN
2007
13 years 10 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
IJCAI
2007
13 years 10 months ago
Open Information Extraction from the Web
Traditionally, Information Extraction (IE) has focused on satisfying precise, narrow, pre-specified requests from small homogeneous corpora (e.g., extract the location and time o...
Michele Banko, Michael J. Cafarella, Stephen Soder...
NIPS
2008
13 years 10 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
SEMWIKI
2008
154views Data Mining» more  SEMWIKI 2008»
13 years 10 months ago
Flyspeck in a Semantic Wiki
Abstract. Semantic wikis have been successfully applied to many problems in knowledge management and collaborative authoring. They are particularly appropriate for scientific and m...
Christoph Lange 0002, Sean McLaughlin, Florian Rab...
SIMUTOOLS
2008
13 years 10 months ago
Simulating SMEPP middleware
Embedded Peer-to-Peer Systems (EP2P) represent a new challenge in the development of software for distributed systems. The main objective of the SMEPP (Secure Middleware for Embed...
Javier Barbarán, Carlos Bonilla, Jose &Aacu...