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KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 6 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
CSCLP
2007
Springer
16 years 13 days ago
Quasi-Linear-Time Algorithms by Generalisation of Union-Find in CHR
Abstract. The union-find algorithm can be seen as solving simple equations between variables or constants. With a few lines of code change, we generalise its implementation in CHR...
Thom W. Frühwirth
EH
2003
IEEE
117views Hardware» more  EH 2003»
15 years 11 months ago
The Evolutionary Design and Synthesis of Non-Linear Digital VLSI Systems
This paper describes a multi-objective Evolutionary Algorithm (EA) system for the synthesis of efficient non-linear VLSI circuit modules. The EA takes the specification for a no...
Robert Thomson, Tughrul Arslan
SBRN
2000
IEEE
15 years 10 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...
TACAS
2009
Springer
127views Algorithms» more  TACAS 2009»
16 years 1 months ago
From Tests to Proofs
We describe the design and implementation of an automatic invariant generator for imperative programs. While automatic invariant generation through constraint solving has been exte...
Ashutosh Gupta, Rupak Majumdar, Andrey Rybalchenko