From 1 May 2007 to 4 May 2007 the Dagstuhl Seminar 07181 ``Parallel Universes and Local Patterns\u27\u27 was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available
universes as a learning concept that encompasses the simultaneous analysis from multiple descriptor ...
As the volume of data increases, it is clear that both parallel and distributed data mining techniqu...
AbstractWe present an extension of the fuzzy c-Means algorithm, which operates simultaneously on dif...
From 1 May 2007 to 4 May 2007 the Dagstuhl Seminar 07181 ``Parallel Universes and Local Patterns\u...
Learning in parallel universes and the mining for local patterns are both relatively new fields of r...
From 12.04.04 to 16.04.04, the Dagstuhl Seminar 04161 ``Detecting Local Patterns\u27\u27 was held in...
This abstract summarizes a brief, preliminary formalization of learning in parallel universes. It al...
From 15.02. to 20.02.2009, the Dagstuhl Seminar 09081 ``Similarity-based learning on structures \u27...
We discuss Learning in parallel universes as a learning concept that encompasses the simultaneous an...
The parallel universes idea is an attempt to integrate several aspects of learning which share some ...
International audienceIntroduction The dramatic increase in available computer storage capacity over...
From February 17th to 22nd 2008, the Dagstuhl Seminar 08081 ``Data Structures\u27\u27 was held in th...
From February 28th to March 5th 2010, the Dagstuhl Seminar 10091 "Data Structures" was held in Schlo...
When seeking for small local patterns it is very intricate to distinguish between incidental agglome...
Abstract. We present a supervised method for Learning in Parallel Universes, i.e. problems given in ...
universes as a learning concept that encompasses the simultaneous analysis from multiple descriptor ...
As the volume of data increases, it is clear that both parallel and distributed data mining techniqu...
AbstractWe present an extension of the fuzzy c-Means algorithm, which operates simultaneously on dif...
From 1 May 2007 to 4 May 2007 the Dagstuhl Seminar 07181 ``Parallel Universes and Local Patterns\u...
Learning in parallel universes and the mining for local patterns are both relatively new fields of r...
From 12.04.04 to 16.04.04, the Dagstuhl Seminar 04161 ``Detecting Local Patterns\u27\u27 was held in...
This abstract summarizes a brief, preliminary formalization of learning in parallel universes. It al...
From 15.02. to 20.02.2009, the Dagstuhl Seminar 09081 ``Similarity-based learning on structures \u27...
We discuss Learning in parallel universes as a learning concept that encompasses the simultaneous an...
The parallel universes idea is an attempt to integrate several aspects of learning which share some ...
International audienceIntroduction The dramatic increase in available computer storage capacity over...
From February 17th to 22nd 2008, the Dagstuhl Seminar 08081 ``Data Structures\u27\u27 was held in th...
From February 28th to March 5th 2010, the Dagstuhl Seminar 10091 "Data Structures" was held in Schlo...
When seeking for small local patterns it is very intricate to distinguish between incidental agglome...
Abstract. We present a supervised method for Learning in Parallel Universes, i.e. problems given in ...
universes as a learning concept that encompasses the simultaneous analysis from multiple descriptor ...
As the volume of data increases, it is clear that both parallel and distributed data mining techniqu...
AbstractWe present an extension of the fuzzy c-Means algorithm, which operates simultaneously on dif...