Feature discovery in non-metric pairwise dataUniversität Potsdam
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Additional Services. Search Google Scholar Statistics. Metadaten. Author details: Julian Laub, Klaus-Robert Müller. Publication type: Article. Language: English. Additional Services. Search Google Scholar Statistics. Metadaten. Author details: Julian Laub, Klaus-Robert Müller. Publication type: Article. Language: English.
On the information and representation of non-Euclidean pairwise datapublishup.uni-potsdam.de › index › year › docId
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Julian Laub, Volker Roth, Joachim Buhmann, Klaus-Robert Müller. Two common data representations are mostly used in intelligent data analysis, ...
79 results found for "~Jakob_H._Macke1"OpenReview
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Julian Laub, Jakob H. Macke, Klaus-Robert Müller, Felix A. Wichmann (modified: 11 Nov 2022); NIPS 2006; Readers: Everyone. « ‹ 1 · 2 · 3 · 4 · › · ». Julian Laub, Jakob H. Macke, Klaus-Robert Müller, Felix A. Wichmann (modified: 11 Nov 2022); NIPS 2006; Readers: Everyone. « ‹ 1 · 2 · 3 · 4 · › · ».
Inducing Metric Violations in Human Similarity JudgementsMassachusetts Institute of Technology
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von J Laub · Zitiert von: 15 — Julian Laub. 1. , Jakob Macke. 2. , Klaus-Robert Müller. 1,3 and Felix A. Wichmann Fraunhofer FIRST.IDABerlin, Germany. 2. Max ... von J Laub · Zitiert von: 15 — Julian Laub. 1. , Jakob Macke. 2. , Klaus-Robert Müller. 1,3 and Felix A. Wichmann Fraunhofer FIRST.IDABerlin, Germany. 2. Max ...
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On the information and representation of non-Euclidean pairwise data · hmtl icon · Julian Laub, Volker Roth, Joachim M. Buhmann, Klaus-Robert Müller On the information and representation of non-Euclidean pairwise data · hmtl icon · Julian Laub, Volker Roth, Joachim M. Buhmann, Klaus-Robert Müller
Inducing Metric Violations in Human Similarity Judgementsdirect.mit.edu › books › edited-volume › chapter › I...
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Citation. Julian Laub, Jakob Macke, Klaus-Robert Müller, Felix A. Wichmann, · Search Dropdown Menu. toolbar search. search input. Search input auto suggest.
Feature Discovery in Non-Metric Pairwise DataACM Digital Library
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Feature Discovery in Non-Metric Pairwise Data. Authors: Julian Laub. Julian Laub. View Profile. and Klaus-Robert Müller. Klaus-Robert Müller. View Profile. Feature Discovery in Non-Metric Pairwise Data. Authors: Julian Laub. Julian Laub. View Profile. and Klaus-Robert Müller. Klaus-Robert Müller. View Profile.
Feature Discovery in Non-Metric Pairwise DataJournal of Machine Learning Research (JMLR)
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von J Laub · · Zitiert von: 97 — Julian Laub. .DE. Fraunhofer FIRST.IDA Berlin, Germany. Klaus-Robert Müller. .DE. Fraunhofer FIRST. von J Laub · · Zitiert von: 97 — Julian Laub. .DE. Fraunhofer FIRST.IDA Berlin, Germany. Klaus-Robert Müller. .DE. Fraunhofer FIRST.
Inducing Metric Violations in Human Similarity Judgements
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von J Laub · · Zitiert von: 11 — Authors. Julian Laub, Klaus-Robert Müller, Felix A. Wichmann, Jakob H. Macke. Abstract. Attempting to model human categorization and similarity judgements ... › paper ›
JMLR: Vol 5, No - ACM Digital LibraryACM Digital Library
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Author Picture Julian Laub,; Author Picture Klaus-Robert Müller. pp 801–818. Pairwise proximity data, given as similarity or dissimilarity matrix, can violate ... Author Picture Julian Laub,; Author Picture Klaus-Robert Müller. pp 801–818. Pairwise proximity data, given as similarity or dissimilarity matrix, can violate ...
On the information and representation of non-Euclidean ...ScienceDirect.com
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von J Laub · · Zitiert von: 72 — Julian Laub a , Volker Roth b , Joachim M. Buhmann b , Klaus ... Julian Laub and Klaus-Robert Müller gratefully acknowledge partial funding from DFG. von J Laub · · Zitiert von: 72 — Julian Laub a , Volker Roth b , Joachim M. Buhmann b , Klaus ... Julian Laub and Klaus-Robert Müller gratefully acknowledge partial funding from DFG.
dblp: Klaus-Robert Müller
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List of computer science publications by Klaus-Robert Müller
Volker Roth 0001DBLP
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— Volker Roth, Julian Laub, Joachim M. Buhmann, Klaus-Robert Müller: Going Metric: Denoising Pairwise Data. NIPS 2002: ; [b1]. view — Volker Roth, Julian Laub, Joachim M. Buhmann, Klaus-Robert Müller: Going Metric: Denoising Pairwise Data. NIPS 2002: ; [b1]. view.
Inducing Metric Violations in Human Similarity Judgements | OpenReview
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Julian Laub, Jakob H. Macke, Klaus-Robert Müller, Felix A. Wichmann (modified: 16 Jul 2019)NIPS 2006Readers: EveryoneShow BibtexShow Revisions.
American Chemical Society: Journal of Chemical Information and...
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Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Julian Laub, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, and Klaus-Robert Müller
Alle Infos zum Namen "Julian Laub"
2005 Digital Symposium CollectionSIGMOD
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Volker Roth, Julian Laub , Joachim M. Buhmann , Klaus-Robert Müller : Going Metric: Denoising Pairwise Data. NIPS : Walter Binder , Volker Roth ... Volker Roth, Julian Laub , Joachim M. Buhmann , Klaus-Robert Müller : Going Metric: Denoising Pairwise Data. NIPS : Walter Binder , Volker Roth ...
Accurate solubility prediction with error bars for electrolytesNational Institutes of Health (NIH) (.gov)
pubmed.ncbi.nlm.nih.gov
von A Schwaighofer · · Zitiert von: 94 — Julian Laub, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller. Affiliation. 1 Fraunhofer FIRST, Kekulé, von A Schwaighofer · · Zitiert von: 94 — Julian Laub, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller. Affiliation. 1 Fraunhofer FIRST, Kekulé,
Advances in Neural Information Processing Systems NIPS papers
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Going Metric: Denoising Pairwise Data Volker Roth, Julian Laub, Klaus-Robert Müller, Joachim Buhmann; String Kernels, Fisher Kernels and Finite State ... Going Metric: Denoising Pairwise Data Volker Roth, Julian Laub, Klaus-Robert Müller, Joachim Buhmann; String Kernels, Fisher Kernels and Finite State ...
Feature Discovery in Non-Metric Pairwise DataJournal of Machine Learning Research (JMLR)
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von J Laub · · Zitiert von: 97 — Julian Laub, Klaus-Robert Müller; 5(Jul): , Abstract. Pairwise proximity data, given as similarity or dissimilarity matrix, can violate metricity ... von J Laub · · Zitiert von: 97 — Julian Laub, Klaus-Robert Müller; 5(Jul): , Abstract. Pairwise proximity data, given as similarity or dissimilarity matrix, can violate metricity ...
Going Metric: Denoising Pairwise DataNIPS papers
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von V Roth · · Zitiert von: 91 — Authors. Volker Roth, Julian Laub, Klaus-Robert Müller, Joachim Buhmann. Abstract. Pairwise data in empirical sciences typically violate metricity, ei(cid:173) ... von V Roth · · Zitiert von: 91 — Authors. Volker Roth, Julian Laub, Klaus-Robert Müller, Joachim Buhmann. Abstract. Pairwise data in empirical sciences typically violate metricity, ei(cid:173) ...
In Silico Prediction of Buffer Solubility Based on Quantum- ...OUCI
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Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Julian Laub, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller. Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Julian Laub, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller.
Inducing Metric Violations in Human Similarity JudgementsNIPS papers
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von J Laub · · Zitiert von: 15 — Authors. Julian Laub, Klaus-Robert Müller, Felix A. Wichmann, Jakob H. Macke. Abstract. Attempting to model human categorization and similarity judgements is ... von J Laub · · Zitiert von: 15 — Authors. Julian Laub, Klaus-Robert Müller, Felix A. Wichmann, Jakob H. Macke. Abstract. Attempting to model human categorization and similarity judgements is ...
Inducing metric violations in human similarity judgementsAcademia.edu
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Inducing Metric Violations in Human Similarity Judgements Julian Laub 1 , Jakob Macke 2 , Klaus-Robert Müller 1,3 and Felix A. Wichmann 2 1 Fraunhofer FIRST ... Inducing Metric Violations in Human Similarity Judgements Julian Laub 1 , Jakob Macke 2 , Klaus-Robert Müller 1,3 and Felix A. Wichmann 2 1 Fraunhofer FIRST ...
Journal Article - page 7ETH Zürich
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Julian Laub, Volker Roth, Joachim M. Buhmann, Klaus-Robert Müller, Pattern Recognition, 39. Research Collection. Non Euclidean Pairwise Data Embedding ... Julian Laub, Volker Roth, Joachim M. Buhmann, Klaus-Robert Müller, Pattern Recognition, 39. Research Collection. Non Euclidean Pairwise Data Embedding ...
On the information and representation of non-Euclidean pairwise ...고려대학교
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Julian Laub and Klaus-Robert Müller gratefully acknowledge partial funding from DFG. This project has been partially supported by PASCAL network of ... Julian Laub and Klaus-Robert Müller gratefully acknowledge partial funding from DFG. This project has been partially supported by PASCAL network of ...
Towards understanding the power of quantum kernels in ...OUCI
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Julian Laub and Klaus-Robert Müller. Feature discovery in non-metric pairwise data. The Journal of Machine Learning Research, 5: 801–818, Julian Laub ... Julian Laub and Klaus-Robert Müller. Feature discovery in non-metric pairwise data. The Journal of Machine Learning Research, 5: 801–818, Julian Laub ...
Book - NIPS - NeurIPSNeurIPS 2024
proceedings.neurips.cc
Inducing Metric Violations in Human Similarity Judgements Julian Laub, Klaus-Robert Müller, Felix A. Wichmann, Jakob H. Macke; Nonnegative Sparse PCA Ron ... Inducing Metric Violations in Human Similarity Judgements Julian Laub, Klaus-Robert Müller, Felix A. Wichmann, Jakob H. Macke; Nonnegative Sparse PCA Ron ...
JMLR Volume 5Journal of Machine Learning Research (JMLR)
jmlr.csail.mit.edu
Julian Laub, Klaus-Robert Müller; 5(Jul): , [abs][pdf] [ps.gz] [ps]. Probability Product Kernels (Special Topic on Learning Theory): Tony Jebara ... Julian Laub, Klaus-Robert Müller; 5(Jul): , [abs][pdf] [ps.gz] [ps]. Probability Product Kernels (Special Topic on Learning Theory): Tony Jebara ...
Towards understanding the power of quantum kernels in ...Internet Archive Scholar
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von X Wang · Zitiert von: 54 — ... Julian Laub and Klaus-Robert Müller. Fea- ture discovery in non-metric pairwise data. The Journal of Machine Learning Research,. 5:801– von X Wang · Zitiert von: 54 — ... Julian Laub and Klaus-Robert Müller. Fea- ture discovery in non-metric pairwise data. The Journal of Machine Learning Research,. 5:801–
Towards understanding the power of quantum kernels in the NISQ eraquantum-journal.org › papers
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· [30] Julian Laub and Klaus-Robert Müller. Feature discovery in non-metric pairwise data. The Journal of Machine Learning Research, ...
Towards understanding the power of quantum kernels in the NISQ erawww.arxiv-vanity.com › papers
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· (53) Julian Laub and Klaus-Robert Müller. Feature discovery in non-metric pairwise data. The Journal of Machine Learning Research, 5:801–818, ...
dblp: Journal of Machine Learning Research, Volume 5lufirst.com › ...
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Twitter · Reddit · Mendeley · BibSonomy · LinkedIn · Facebook. persistent URL: https://dblp.org/rec/journals/jmlr/LaubM04. Julian Laub, Klaus-Robert Müller:
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