Java-ML: a machine learning library. Java-ML is a collection of machine learning and data mining algorithms, which aims to be a readily usable and easily extensible API for both software developers and research scientists. The interfaces for each type of algorithm are kept simple and algorithms strictly follow their respective interface. Comparing different classifiers or clustering algorithms is therefore straightforward, and implementing new algorithms is also easy. The implementations of the algorithms are clearly written, properly documented and can thus be used as a reference. The library is written in Java and is available from http://java-ml.sourceforge.net/ under the GNU GPL license.
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References in zbMATH (referenced in 5 articles , 1 standard article )
Showing results 1 to 5 of 5.
- Filice, Simone; Castellucci, Giuseppe; Da San Martino, Giovanni; Moschitti, Alessandro; Croce, Danilo; Basili, Roberto: \textscKeLP: a kernel-based learning platform (2018)
- Malo, Pekka; Siitari, Pyry; Sinha, Ankur: Automated query learning with Wikipedia and genetic programming (2013)
- Grau, Jan; Keilwagen, Jens; Gohr, André; Haldemann, Berit; Posch, Stefan; Grosse, Ivo: Jstacs: a Java framework for statistical analysis and classification of biological sequences (2012) ioport
- Abeel, Thomas; Van De Peer, Yves; Saeys, Yvan: Java-ML: a machine learning library (2009)
- Rokach, Lior: Taxonomy for characterizing ensemble methods in classification tasks: a review and annotated bibliography (2009)