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104
Voted
CHI
2009
ACM
16 years 1 months ago
Using language tests and emotional expressions to determine the learnability of artificial languages
The study described hereunder lies within the context of a larger project focusing on the design and implementation of a "Robotic Interaction Language". The research goa...
Omar Mubin, Suleman Shahid, Christoph Bartneck, Em...
125
Voted
KDD
2007
ACM
206views Data Mining» more  KDD 2007»
16 years 1 months ago
Automatic labeling of multinomial topic models
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
16 years 1 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
116
Voted
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 1 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...
101
Voted
CADE
2001
Springer
16 years 1 months ago
Context Trees
Context trees are a popular and effective tool for tasks such as compression, sequential prediction, and language modeling. We present an algebraic perspective of context trees for...
Harald Ganzinger, Robert Nieuwenhuis, Pilar Nivela