About: C++ software for statistical classification, probability estimation and interpolation/non-linear regression using variable bandwidth kernel estimation.

New in Version 0.9.8:

• bug fixes: svm file conversion works properly and is more general

• non-hierarchical multi-borders has 3 options for solving for the conditional probabilities: matrix inversion, voting, and matrix inversion over-ridden by voting, with re-normalization

• multi-borders now works with external binary classifiers

• random numbers resolve a tie when selecting classes based on probabilities

• pair of routines, sort_discrete_vectors and search_discrete_vectors, for classification based on n-d binning (still experimental)

• command options have been changed with many new additions, see QUICKSTART file or run the relevant commands for details

About: This Java software implements Profile Hidden Markov Models (PHMMs) for protein classification for the WEKA workbench. Standard PHMMs and newly introduced binary PHMMs are used. In addition the software allows propositionalisation of PHMMs.

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