mloss.org – machine learning open source software
Open source repository of machine learning software.
Not only are subjects being recognized by these software packages but their processes and choices are subjects as well. Not to mention their description in the literature.
Fruitful grounds for adaptation to topic maps as well as being the subject of topic maps.
There are literally hundreds of software packages here so I welcome suggestions, comments, etc. on any and all of them.
Questions:
- Examples of vocabulary mis-match in machine learning literature?
- Using one sample data set, how would you integrate results from different packages? Assume you are not merging classifiers.
- What if the classifiers are unknown? That is all you have are the final results. Is your result different? Reliable?
- Describe a (singular) merging of classifiers in subject identity terms.