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Search results for "SATOH"

lib/Acme/MorningMusume/SatohMasaki.pm River stage one • 2 direct dependents • 3 total dependents

CATATSUY/Acme-MorningMusume-0.20 - 04 Jun 2016 07:14:38 UTC - Search in distribution

Lingua::TFIDF - Language-independent TF-IDF calculator. River stage zero No dependents

Quoting Wikipedia <http://en.wikipedia.org/wiki/Tf%E2%80%93idf>: tf–idf, short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus. It is ...

SEKIA/Lingua-TFIDF-0.01 - 11 May 2014 17:25:37 UTC - Search in distribution

Algorithm::AdaBoost - AdaBoost learning algorithm River stage zero No dependents

AdaBoost is a machine learning algorithm proposed by Freund and Schapire. Using an arbitrary binary classification algorithm, The algorithm can construct a more accurate classifier (i.e. it is a meta-algorithm)....

SEKIA/Algorithm-AdaBoost-0.01 - 20 Oct 2012 08:54:18 UTC - Search in distribution

Algorithm::KernelKMeans - Weighted kernel k-means clusterer River stage zero No dependents

"Algorithm::KernelKMeans" provides weighted kernel k-means vector clusterer. Note that this is a very early release. All APIs may be changed incompatibly. IMPLEMENTATION This class is just a placeholder. Implementation code is in other class and this...

SEKIA/Algorithm-KernelKMeans-0.03 - 10 Nov 2010 15:16:15 UTC - Search in distribution

Math::Random::Xorshift - a fast PRNG River stage zero No dependents

This module is a straight forward implementation of Xorshift PRNG proposed by G. Marsaglia in 2003. Note that the algorithm is extremely fast and passes the Diehard test <http://www.stat.fsu.edu/pub/diehard/> though, is not reliable enough statistica...

SEKIA/Math-Random-Xorshift-0.05 - 22 Dec 2010 06:44:26 UTC - Search in distribution

Params::PatternMatch - Pattern match-based argument binding for Perl. River stage zero No dependents

This extension provides keywords for pattern match-based argument binding like functional languages, such as Scala or ML. CAVEAT Note that the implementation is not tail call-optimized; Unlike real functional languages, you cannot use recursive "matc...

SEKIA/Params-PatternMatch-0.01 - 05 Sep 2014 09:21:03 UTC - Search in distribution

Algorithm::LossyCount - Memory-efficient approximate frequency count. River stage one • 1 direct dependent • 1 total dependent

Lossy-Counting is a approximate frequency counting algorithm proposed by Manku and Motwani in 2002 (refer "SEE ALSO" section below.) The main advantage of the algorithm is memory efficiency. You can get approximate count of appearance of items with v...

SEKIA/Algorithm-LossyCount-0.03 - 18 Mar 2014 03:35:45 UTC - Search in distribution

Search::Fulltext::Tokenizer::Ngram - Character n-gram tokenizer for Search::Fulltext River stage zero No dependents

This module provides character N-gram tokenizers for Search::Fulltext. By default {1,2,3}-gram tokenzers are available....

SEKIA/Search-Fulltext-Tokenizer-Ngram-0.01 - 31 Dec 2013 18:00:45 UTC - Search in distribution
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