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KDD
2005
ACM
166views Data Mining» more  KDD 2005»
16 years 6 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
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 6 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 6 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 6 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
FOSSACS
2009
Springer
16 years 1 months ago
Realizability Semantics of Parametric Polymorphism, General References, and Recursive Types
Abstract. We present a realizability model for a call-by-value, higherorder programming language with parametric polymorphism, general first-class references, and recursive types....
Lars Birkedal, Kristian Støvring, Jacob Tha...