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Updates for NEWS and CONTRIBUTIONS
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lisitsyn committed Mar 29, 2012
1 parent 777e558 commit afb8b5e
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13 changes: 6 additions & 7 deletions src/CONTRIBUTIONS
Expand Up @@ -55,13 +55,6 @@ We integrated the work of the following people:
Baozeng Ding
- Support for modular java, c#, ruby, lua interfaces

Sergey Lisitsyn
- Locally Linear Embedding, Classic and Landmark
Multidimensional Scaling, Local Tangent Space Alignment,
Hessian Locally Linear Embedding, Isomap, Laplacian Eigenmaps
- ARPACK wrapper
- Various bugfixes and structural improvements

Shashwat Lal Das
- Streaming / Online Feature Framework for SimpleFeatures, SparseFeatures,
StringFeatures, SGD-QN, Online SGD, Online Liblinear, Online Vowpal Vabit
Expand All @@ -78,10 +71,16 @@ We integrated the work of the following people:

Evgeniy Andreev:
- FibonacciHeap
- Python 3 support
- CoverTree
- HashSet

Justin Patera
- Ruby examples

Daniel Korn
- C# examples

Fernando José Iglesias Garcia
- Generic multiclass OvO training
- Quadratic Discriminant Analysis
2 changes: 1 addition & 1 deletion src/NEWS
Expand Up @@ -7,10 +7,10 @@
- Support for new SWIG -builtin python interface feature (SWIG 2.0.4 is required now).
- EDRT algorithms are now available using static interfaces such as matlab and octave.
- Jensen-Shannon kernel and Homogeneous kernel map preprocessor (thanks to Viktor Gal).
- New Mahalanobis distance and QDA classes (thanks to Fernando J. Iglesias Garcia).
- New 'multiclass' module for multiclass classification algorithms, generic linear
and kernel multiclass machines, multiclass LibLinear and OCAS wrappers,
new rejection schemes concept by Sergey Lisitsyn.
- Mahalanobis distance, QDA and generic OvO multiclass machine (thanks to Fernando J. Iglesias Garcia).
- New regression estimation algorithms.
- New graphical python modular examples.
- Standard Cross-Validation splitting for regression problems by Heiko Strathmann
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