Timeline
11/07/17:
- 19:49 Changeset [15459] by
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experimentation
- 17:23 Changeset [15458] by
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#2789 recomiled sbart
- 17:03 Changeset [15457] by
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#2789 added Finbarr O'Sullivan smoothing spline code
- 13:49 Changeset [15456] by
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#2747: worked on the CFSAP
- Introduced new benchmark instances mentioned in the literature and updated the parser
- 13:15 Changeset [15455] by
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#2847 added WeightedEuclideanDistance && fixed minor bug in scatterPlot colloring
- 08:24 Changeset [15454] by
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- Extreme point bin packing does not need the occupation layer anymore
- Changes at the fitting algorithm. Now they are packing the items as in the paper of S. Martello, D. Pisinger, D. Vigo described
11/06/17:
- 18:20 AdditionalMaterial edited by
- added ijspm 2017 (diff)
- 18:19 Changeset [15453] by
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Uploaded additional material for IJSPM (uncertainty analysis)
- 16:38 Changeset [15452] by
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- Removed ManualResetEventSlim allOptimizerFinished.
- Reworked execution state transitions into simple, documented rules
- Fixed potentiall NullReferenceException in ExperimentView
- 15:57 Changeset [15451] by
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#2850 created branch & added WeightedEuclideanDistance
- 14:18 Documentation/DevelopmentCenter/DeveloperGuidelines edited by
- (diff)
- 13:12 Changeset [15450] by
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#2789 more tests with CV and automatic determination of smoothing parameter
11/05/17:
11/03/17:
- 20:28 Changeset [15449] by
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#2789 created x64 build of CUBGCV algorithm, fixed some bugs
- 17:07 Changeset [15448] by
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#2852: Added counts of function and gradient evaluations by constants optimization as results.
- 15:28 Changeset [15447] by
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#2852: Adapted constants optimization and auto diff converter to not add linear scaling terms.
- 15:14 Ticket #2852 (Improve Constants Optimization for Symbolic Regression) created by
- * Constants optimization should work without linear scaling * …
- 11:14 Changeset [15446] by
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- Start progres with initial progress value in several cases to use the progress value update.
- Removed object disposal guard in ProgressView because it can block part of the initialization.
- 09:45 Changeset [15445] by
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#2845: Removed progressbar state (green/orange/red).
11/02/17:
- 16:55 Changeset [15444] by
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#2845 Cancel the artificial delay if progress is stopped.
11/01/17:
- 18:05 Changeset [15443] by
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#2789 added interface to CUBGCV using DllImport of Fortran library
10/31/17:
- 20:01 Changeset [15442] by
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#2789: added cross-validation and automatic determination of regularization parameter (naive CV is slow!).
Research produced ACM Algorithm 642.f (Fortran) for univariate cubic spline smoothing with generalized cross-validation in O(n) described in HUTCHINSON, M. F., AND DE HOOG, F.R. Smoothing noisy data with spline functions. Numer. Math. 4 7 (1985), 99-106. (TODO: translate to C#)
10/29/17:
- 22:22 Changeset [15441] by
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#2796 more bug fixing
- 21:22 Changeset [15440] by
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#2796 fixed hashing of expressions and unit tests for expression enumeration
10/28/17:
- 20:32 Changeset [15439] by
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#2796 more refactoring and working on unit tests
- 19:56 Changeset [15438] by
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#2796 refactoring to simplify the code
10/27/17:
- 18:42 Changeset [15437] by
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#2796 comments, simplifications, reviewed tests for structure enumeration (not working)
- 16:19 Changeset [15436] by
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#2789: added parameter properties to GAM
- 11:16 Ticket #2843 (Changing of ProblemData for DataAnalysisSolution does not work as expected) closed by
- done: r15434: Merged r15396 into stable. (r15393 was merged accidentally, …
- 11:14 Changeset [15435] by
- 11:12 Changeset [15434] by
- 11:10 Changeset [15433] by
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#2789 added the possibility to include interaction terms in GAM
10/25/17:
- 13:53 Changeset [15432] by
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#2849: AlpsOs2 with a ContinuousMatingPoolCreator
- 13:22 Ticket #2851 (IStringConvertibleMatrix should derive from IItem) created by
- It only derives from IContent and thus cannot be used as e.g. …
- 12:38 Changeset [15431] by
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#2809: Removed experimental static-typed datacolumns. (reverse merge g15291, r15309)
10/24/17:
- 13:28 Changeset [15430] by
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#2847 first implementation of M5'-regression
- 08:26 Ticket #2850 (Extend tSNE with relevance weights) created by
- The original tSNE uses all inputs dimensions equally. This decreases …
