Inductive Programming (IP)

Inductive Programming (IP) for Machine Learning (ML) and Statistical Inference with Haskell source code.

Also see 'Coding Ockham's Razor', at the [mmlist].
 
IP 1.3
[source code], improved(?) the directory and module organisation.
 
IP 1.2
[TR 224], reorganised the Haskell modules and added the [Geometric], [Poisson] & [Student's t-Distribution] and a small library of useful numerical/scientific methods (functions).
 
Ver 1.1
[TR153]
 
Ver 1.0
[source code] & TR 148, multinomial, normal (Gaussian) & other distributions (Models), function-models, time-series models, clustering (mixture models), & classification- (decision-, regression-, model-) trees.