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Latest news from the Knowledge Engineering Group
Book on Preference Learning

Book on Preference Learning

A book on Preference Learning, edited by Johannes Fürnkranz and Eyke Hüllermeier, will appear shortly in Springer-Verlag.

Book on Preference Learning - Read More…

Workshop and Tutorial at ECML/PKDD-10

Workshop and Tutorial at ECML/PKDD-10

At this year's ECML/PKDD-10 conference, we will organize a joint tutorial and workshop on Preference Learning.

Workshop and Tutorial at ECML/PKDD-10 - Read More…

DFG Project on Pairwise Learning extended

DFG Project on Pairwise Learning extended

The project "Learning by Pairwise Comparison for Problems with Structured Output Spaces" will be funded for another 36 months by the German Research Foundation (DFG).

DFG Project on Pairwise Learning extended - Read More…

Best Paper Award at DS-09

Best Paper Award at DS-09

Jan-Nikolas Sulzmann has won the Carl Smith Award.

Best Paper Award at DS-09 - Read More…

Programme Co-Chair for ICML-10

Programme Co-Chair for ICML-10

Johannes Fürnkranz has been appointed as program co-chair for the 27th International Conference on Machine Learning (ICML-10), which will take place in Haifa, Israel.

Programme Co-Chair for ICML-10 - Read More…

3rd Place at Computer Poker Challenge at IJCAI-09

3rd Place at Computer Poker Challenge at IJCAI-09

This year, we have again successfully participated in the Annual Computer Poker Competition in the 3-Player Limit Run-off and the 3-Player Limit Bankroll classes.

3rd Place at Computer Poker Challenge at IJCAI-09 - Read More…

Again Two Workshops at ECML/PKDD!

Again Two Workshops at ECML/PKDD!

As in the previous year, we will co-organize two workshop at this year's ECML/PKDD conference.

Again Two Workshops at ECML/PKDD! - Read More…

DAAD/IKYDA Support for Activities in Multi-label Classification

DAAD/IKYDA Support for Activities in Multi-label Classification

The Knowledge Engineering Group of the TU Darmstadt and the Machine Learning and Knowledge Discovery Group of the Aristotle University of Thessaloniki have received support from the DAAD/IKYDA to establish a co-operation in the area of Multilabel Classification Methods for Problems with Large Number of Labels.

DAAD/IKYDA Support for Activities in Multi-label Classification - Read More…

Proposals Co-Chair of ECML/PKDD Steering Committee

Prof. Fürnkranz has been appointed Proposals Co-Chair of the ECML/PKDD Steering Committee, and is responsible for organizing the selection process for the conference venue in 2011.

Proposals Co-Chair of ECML/PKDD Steering Committee - Read More…

DFG Project GLocSyn Extension

Our project proposal Towards A Synthesis of Local and Global Pattern Discovery has been extended for two more years by the German Research Foundation (DFG).

DFG Project GLocSyn Extension - Read More…

AAAI Computer Poker Competition 2008

Two groups of our combined Practical Course on Artificial Intelligence and Seminar on Knowledge Engineering in Games participated in the third AAAI Computer Poker Competition. Besides the usual heads-up limit and heads-up no-limit competitions, a 6-player ring limit competition was held for the first time.

AAAI Computer Poker Competition 2008 - Read More…

Two Workshops at ECML/PKDD-08!

We will co-organize two workshop at this year's ECML/PKDD conference in Antwerp. On September 15th, there will be the LeGo-08 Workshop: From Local Patterns to Global Models, and on September 19th, the PL-08 Workshop on Preference Learning. Both workshops complement our activities on the two DFG-funded projects in these areas. We are looking forward to many interesting submissions!

Two Workshops at ECML/PKDD-08! - Read More…

Achtung! Forschungssemester im WS 2007/08

Im Wintersemester 2007/08 wird Professor Fürnkranz ein Forschungssemester durchführen. In dieser Zeit finden mit Ausnahme des Seminars aus maschinellem Lernen keine Lehrveranstaltungen statt, und es wird keine regelmäßige Sprechstunde angeboten.

Achtung! Forschungssemester im WS 2007/08 - Read More…

Data Mining Cup 2007

As in previous years, as part of our Practical Course on Machine Learning and Data Mining, we participated in the annual Data Mining Cup. This year, one of our students, Stefan Appel, finished in third place (among 248 submitted solutions from 688 registered students of 159 universities from 40 different countries). In total, three of our students finished among the top 10 (and were invited to participate in the international Data Mining Days in Leipzig), and five students finished among the top 20.

Data Mining Cup 2007 - Read More…

DFG Project Pairwise Learning

The project proposal Learning by Pairwise Comparison for Problems with Structured Output Spaces has been accepted by the German Research Foundation (DFG).

DFG Project Pairwise Learning - Read More…

Best Teaching Award for Prof. K.P. Jantke

Prof. Klaus Peter Jantke who has a teaching position in our group has been distinguished by the students representative's Best Teaching Award. The students elected his lecture on Digital Games to be the best Computer Science lecture in the summer term 2006.

Best Teaching Award for Prof. K.P. Jantke - Read More…

Data Mining Cup 2006

Nine Students of our Practical Course on Machine Learning and Data Mining participated in the annual Data Mining Cup. This year's task was to train a classifier to predict whether an item that is on sale at EBay will receive a higher or lower price than comparable items. Three of our students were placed in the top 10 of 189 solutions. Two students were invited to the international Data Mining Days in Chemnitz.

Data Mining Cup 2006 - Read More…

DFG Project GLocSyn

Our project proposal Towards A Synthesis of Local and Global Pattern Discovery has been accepted by the German Research Foundation (DFG).

DFG Project GLocSyn - Read More…

Best Young Presentation Award

Bjoern Koester received the Best Young Presentation Award at the 4th International Conference on Formal Concept Analysis for his paper "FooCA: Enhancing Google Information Research with Formal Concept Analysis".

Best Young Presentation Award - Read More…

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