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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 4 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...
KDD
2001
ACM
166views Data Mining» more  KDD 2001»
16 years 4 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...
POPL
2006
ACM
16 years 4 months ago
Stratified type inference for generalized algebraic data types
We offer a solution to the type inference problem for an extension of Hindley and Milner's type system with generalized algebraic data types. Our approach is in two strata. T...
François Pottier, Yann Régis-Gianas
ISSTA
2009
ACM
15 years 10 months ago
SideTrack: generalizing dynamic atomicity analysis
Atomicity is a key correctness specification for multithreaded programs. Prior dynamic atomicity analyses include precise tools, which report an error if and only if the observed...
Jaeheon Yi, Caitlin Sadowski, Cormac Flanagan
MIDDLEWARE
2007
Springer
15 years 10 months ago
On the integration of sensor networks and general purpose IT infrastructure
Integrating sensor networks with general purpose IT infrastructure has been confirmed as a complex problem in the development and management of industrial sensor applications. Th...
Wouter Horré, Sam Michiels, Nelson Matthys,...