Statistics::MaxEntropy - Perl5 module for Maximum Entropy Modeling and Feature Induction River stage zero No dependents

This module is an implementation of the Generalised and Improved Iterative Scaling (GIS, IIS) algorithms and the Feature Induction (FI) algorithm as defined in (Darroch and Ratcliff 1972) and (Della Pietra et al. 1997). The purpose of the scaling alg...

TERDOEST/Statistics-MaxEntropy-1.0 - 26 Jul 2015 20:01:13 GMT

Statistics::Candidates - Perl5 module for manipulating candidate features (help module for Statistics::MaxEntropy) River stage zero No dependents

The "Candidates" object is for storage, retrieval, and manipulation of candidate features. This module requires "Bit::SparseVector"....

TERDOEST/Statistics-MaxEntropy-1.0 - 26 Jul 2015 20:01:13 GMT

Statistics::SparseVector - Perl5 extension for representing and manipulating sparse binary and integer vectors River stage zero No dependents

This module implements sparse bitvectors. Several methods for manipulating bitvectors are implemented. Creation of bitvectors "new" $vec = Statistics::BitVector->new($n); A bitvector of length $n is created. All bits are zero. "Clone" $clone = $vec->...

TERDOEST/Statistics-MaxEntropy-1.0 - 26 Jul 2015 20:01:13 GMT

Bundle::Math::Statistics - Bundle of modules related to statistics River stage zero No dependents

This is a bundle of modules related to statistics. Please have a look at Bundle::Math. If you would like to see a specific module included in a future version of this bundle, please send me an email or use rt.cpan.org....

SMUELLER/Bundle-Math-Statistics-1.01 - 10 Jul 2004 06:58:21 GMT

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