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» The Complexity of Partition Functions
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NIPS
2008
15 years 8 months ago
Clustered Multi-Task Learning: A Convex Formulation
In multi-task learning several related tasks are considered simultaneously, with the hope that by an appropriate sharing of information across tasks, each task may benefit from th...
Laurent Jacob, Francis Bach, Jean-Philippe Vert
SDM
2008
SIAM
123views Data Mining» more  SDM 2008»
15 years 8 months ago
Constrained Co-clustering of Gene Expression Data
In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection...
Ruggero G. Pensa, Jean-François Boulicaut
NIPS
2007
15 years 8 months ago
Loop Series and Bethe Variational Bounds in Attractive Graphical Models
Variational methods are frequently used to approximate or bound the partition or likelihood function of a Markov random field. Methods based on mean field theory are guaranteed ...
Erik B. Sudderth, Martin J. Wainwright, Alan S. Wi...
DBSEC
2006
134views Database» more  DBSEC 2006»
15 years 8 months ago
Aggregation Queries in the Database-As-a-Service Model
In the Database-As-a-Service (DAS) model, clients store their database contents at servers belonging to potentially untrusted service providers. To maintain data confidentiality, ...
Einar Mykletun, Gene Tsudik
ERSA
2006
111views Hardware» more  ERSA 2006»
15 years 8 months ago
Promises and Pitfalls of Reconfigurable Supercomputing
Reconfigurable supercomputing (RSC) combines programmable logic chips with high performance microprocessors, all communicating over a high bandwidth, low latency interconnection n...
Maya Gokhale, Christopher Rickett, Justin L. Tripp...