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» Learning and Inference with Constraints
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CP
2009
Springer
14 years 10 months ago
Minimising Decision Tree Size as Combinatorial Optimisation
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
Christian Bessiere, Emmanuel Hebrard, Barry O'Sull...
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
14 years 10 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 10 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
CHI
2004
ACM
14 years 10 months ago
Putting the users center stage: role playing and low-fi prototyping enable end users to design mobile systems
This paper sums up lessons learned from a sequence of cooperative design workshops where end users were enabled to design mobile systems through scenario building, role playing, a...
Dag Svanaes, Gry Seland
PERCOM
2006
ACM
14 years 9 months ago
Avoiding privacy violations caused by context-sensitive services
The increasing availability of information about people's context makes it possible to deploy context-sensitive services, where access to resources provided or managed by a s...
Urs Hengartner, Peter Steenkiste