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EUROPAR
2004
Springer
15 years 10 months ago
Efficient Parallel Hierarchical Clustering
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
Manoranjan Dash, Simona Petrutiu, Peter Scheuerman...
AAAI
2010
15 years 7 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He
CLA
2007
15 years 7 months ago
A New Concise Representation of Frequent Patterns through Disjunctive Search Space
The interest in a further pruning of the set of frequent patterns that can be drawn from real-life datasets is growing up. In fact, it is a quite survival reflex towards providing...
Tarek Hamrouni, Islem Denden, Sadok Ben Yahia, Eng...
DAGSTUHL
2007
15 years 7 months ago
On the Cost of Shifting Event Processing within Wireless Environments
With the emergence of wireless sensor networks, the issues of event recognition and processing have been partially shifted into the embedded domain. New processing capabilities on...
Kirsten Terfloth, Katharina Hahn, Agnès Voi...
NIPS
2007
15 years 7 months ago
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
We present an algorithm called Optimistic Linear Programming (OLP) for learning to optimize average reward in an irreducible but otherwise unknown Markov decision process (MDP). O...
Ambuj Tewari, Peter L. Bartlett