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KDD
2005
ACM
118views Data Mining» more  KDD 2005»
14 years 11 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 11 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 11 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
KDD
2003
ACM
162views Data Mining» more  KDD 2003»
14 years 11 months ago
Improving spatial locality of programs via data mining
In most computer systems, page fault rate is currently minimized by generic page replacement algorithms which try to model the temporal locality inherent in programs. In this pape...
Karlton Sequeira, Mohammed Javeed Zaki, Boleslaw K...
CHI
2005
ACM
14 years 11 months ago
Chit chat club: bridging virtual and physical space for social interaction
In this work, we create an audio-video link via an interactive sculpture to facilitate casual, sociable communication between two remote spaces. This communication installation wa...
Karrie Karahalios, Kelly Dobson