Adaptive Gaussian Filtering Activity
Machine learning with Gaussian kernels.
Status: Beta
Brought to you by:
peteysoft
Activity for Adaptive Gaussian Filtering
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Peter Mills created a blog post
Move to github
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Forgot to add .bib file
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Do I really want to add this rubbish to the dis...
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Continued cleanup of doc/
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Clean up of doc directory
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Bug report
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Bug report
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Optimal agf is a bust; added decision letter fo...
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I guess a negative correlation (-0.676) is bett...
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not even close to working
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Optimal agf should be working soon
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Completed new optimal agf method, hasn't been t...
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Agf optimal: optimize condition number of coeff...
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Errors found using cppcheck
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Finally corrected bug in borders sampling for s...
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Just browsing through the code found some serio...
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Documentation
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Commented out debug printf statements
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Direct classification embedded in multi-borders...
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Incorporating direct classifiers into hierarchi...
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Multi-class to interface with direct classifiers
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Adding more bloat...
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Minor fixes; documentation
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Trying to make multi-class classification more ...
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General improvements as suggested by testing wi...
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Partial correlation of probabilities
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Added missing logic in constrained solution (of...
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Naive constraint for multi-class is a moderate ...
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various...
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Added directons notes; documentation
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Added directons notes; documentation
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Refactor more or less complete; derived multi-c...
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Derived multi-class mapping works, but not well
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Caught several errors
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New re-factor appears to be working
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Refactor of multi-borders parsing for training
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Re-factoring multi-class parsing: folding it in...
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Cleaning up parsing for multi-borders
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Laying groundwork for externally trained multi-...
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Entropy calculation probability calibration
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Optimize uncertainty coefficient wrt r0
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Continuum classification works, though not as w...
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Removed workspace variables from multiclass cla...
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Revising and debugging continuum classification
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Separated out continuum retrievals to a new class
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svn_clean -- something to offend the purists...
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Continua-borders
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Continuum retrieval using multi-borders
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Use libAGF to accelerate your LIBSVM models
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Version 0.9.8
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Adaptive Gaussian Filtering released /libagf/libagf-0.9.8.tgz
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Removing debug codes; passing exe ext from base...
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Removed debug codes
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Testing and validation
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bug hunting
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Documentation mostly
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Gearing up for a new release
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Separating out multi-borders components; (last ...
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Testing multi-borders external; added experimen...
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Debugging multi-borders stuff; switching to dou...
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Bug hunting
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various
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AGF optimal actually works, but results are les...
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agf optimal with multiple trials
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Finally got a version of optimal agf working
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Finally implemented binning method; multi class...
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Random numbers resolve a tie when selecting a c...
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Special multi-class classification methods whic...
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Found some bugs: accelerator code seems to be w...
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Fixed bug in batch_borders
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Accelerator functions are a complete disaster...
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Accelerator mode for multiclass training
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"Accelerator" for libsvm etc.
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EXE_EXT macro not set for install target in bot...
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Documentation for new multi-class options
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batch_borders compiled; minor errors in sample_...
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Finished typing sub-routines for 'batch' border...
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Starting work on 'borders accelerator'...
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multi-class with external software tested on LI...
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Multiclass calls external classifier in a batch...
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multi_borders compatibility with other binary c...
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Preprocessing routines to handle ascii files; m...
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Multi-class using other binary schemes (may not...
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Eliminated brain-dead binary-classifier templat...
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Making multi-class easier to adapt to other bin...
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Set constraint weight from command line; change...
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Hacked solution to multi-class problem
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Splitting up multi-class classes; adding more o...
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Hacked together multi-class scheme that combine...
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multi-class: made sum of cond. p=1 hard constra...
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Constrained solution for multi-class conditiona...
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Evaluation routines
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Improving evaluation functions
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Improving evaluation functions--new module
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Cleanup: deleted program that separates multi-c...
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Added size ratio parameter in sc_borders
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Converting #define's into const's
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New interface for supernewton
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why the fuck do I keep working on this shit?
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