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KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 7 months ago
An association analysis approach to biclustering
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 7 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
POPL
2006
ACM
16 years 7 months ago
Certified assembly programming with embedded code pointers
Embedded code pointers (ECPs) are stored handles of functions and continuations commonly seen in low-level binaries as well as functional or higher-order programs. ECPs are known ...
Zhaozhong Ni, Zhong Shao
POPL
2010
ACM
16 years 4 months ago
Static Determination of Quantitative Resource Usage for Higher-Order Programs
We describe a new automatic static analysis for determining upper-bound functions on the use of quantitative resources for strict, higher-order, polymorphic, recursive programs de...
Steffen Jost, Hans-Wolfgang Loidl, Kevin Hammond, ...
POPL
2010
ACM
16 years 4 months ago
Monads in Action
In functional programming, monadic characterizations of computational effects are normally understood denotationally: they describe how an effectful program can be systematically ...
Andrzej Filinski