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ORCIDJanne Sinkkonen
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2010 – 2019
- 2019
[c13]Jarkko Lagus, Janne Sinkkonen, Arto Klami
:
Low-Rank Approximations of Second-Order Document Representations. CoNLL 2019: 634-644- 2012
- [i1]Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski:
Two-Way Latent Grouping Model for User Preference Prediction. CoRR abs/1207.1414 (2012) - 2010
- [j6]Simon Rogers, Arto Klami, Janne Sinkkonen, Mark A. Girolami, Samuel Kaski:
Infinite factorization of multiple non-parametric views. Mach. Learn. 79(1-2): 201-226 (2010) - [c12]Ádám Gyenge, Janne Sinkkonen, András A. Benczúr:
An efficient block model for clustering sparse graphs. MLG@KDD 2010: 62-69
2000 – 2009
- 2007
- [c11]Janne Sinkkonen, Janne Aukia, Samuel Kaski:
Inferring Vertex Properties from Topology in Large Networks. MLG 2007 - 2005
- [j5]Samuel Kaski, Janne Sinkkonen, Arto Klami:
Discriminative clustering. Neurocomputing 69(1-3): 18-41 (2005) - [j4]Samuel Kaski, Janne Nikkilä, Janne Sinkkonen, Leo Lahti, Juha E. A. Knuuttila, Christophe Roos:
Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 2(3): 203-216 (2005) - [c10]Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski:
Two-Way Latent Grouping Model for User Preference Prediction. UAI 2005: 518-524 - 2004
- [j3]Samuel Kaski, Janne Sinkkonen:
Principle of Learning Metrics for Exploratory Data Analysis. J. VLSI Signal Process. 37(2-3): 177-188 (2004) - [c9]Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Samuel Kaski:
Associative Clustering. ECML 2004: 396-406 - [c8]Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski:
Sequential information bottleneck for finite data. ICML 2004 - 2003
- [b1]Janne Sinkkonen:
Learning metrics and discriminative clustering. Helsinki University of Technology, Finland, 2003 - [c7]Samuel Kaski, Janne Sinkkonen, Arto Klami:
Regularized discriminative clustering. NNSP 2003: 289-298 - 2002
- [j2]Janne Sinkkonen, Samuel Kaski:
Clustering Based on Conditional Distributions in an Auxiliary Space. Neural Comput. 14(1): 217-239 (2002) - [c6]Janne Sinkkonen, Samuel Kaski, Janne Nikkilä:
Discriminative Clustering: Optimal Contingency Tables by Learning Metrics. ECML 2002: 418-430 - 2001
- [j1]Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen:
Bankruptcy analysis with self-organizing maps in learning metrics. IEEE Trans. Neural Networks 12(4): 936-947 (2001) - [c5]Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen:
Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics. DaWaK 2001: 162-173 - [c4]Samuel Kaski, Janne Sinkkonen, Janne Nikkilä:
Clustering Gene Expression Data by Mutual Information with Gene Function. ICANN 2001: 81-86 - [c3]Samuel Kaski, Janne Sinkkonen:
A Topography-Preserving Latent Variable Model with Learning Metrics. WSOM 2001: 224-229 - 2000
- [c2]Janne Sinkkonen, Samuel Kaski:
Clustering by Similarity in an Auxiliary Space. IDEAL 2000: 3-8 - [c1]Samuel Kaski, Janne Sinkkonen:
Metrics that Learn Relevance. IJCNN (5) 2000: 547-552 - [p1]Janne Sinkkonen:
Information and Resource Allocation. Information Theory and the Brain 2000: 241-254
Coauthor Index
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