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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 5 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
SIAMCO
2002
71views more  SIAMCO 2002»
15 years 2 months ago
Rate of Convergence for Constrained Stochastic Approximation Algorithms
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
Robert Buche, Harold J. Kushner
CIAC
2000
Springer
210views Algorithms» more  CIAC 2000»
15 years 6 months ago
Computing a Diameter-Constrained Minimum Spanning Tree in Parallel
A minimum spanning tree (MST) with a small diameter is required in numerous practical situations. It is needed, for example, in distributed mutual exclusion algorithms in order to ...
Narsingh Deo, Ayman Abdalla
OOPSLA
1995
Springer
15 years 5 months ago
Subtypes vs. Where Clauses: Constraining Parametric Polymorphism
All object-oriented languages provide support for subtype polymorphism, which allows the writing of generic code that works for families of related types. There is also a need, ho...
Mark Day, Robert Gruber, Barbara Liskov, Andrew C....
ISCA
2009
IEEE
137views Hardware» more  ISCA 2009»
15 years 9 months ago
A case for an interleaving constrained shared-memory multi-processor
Shared-memory multi-threaded programming is inherently more difficult than single-threaded programming. The main source of complexity is that, the threads of an application can in...
Jie Yu, Satish Narayanasamy