Janne Sinkkonen

According to our database, Janne Sinkkonen authored at least 21 papers between 2000 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Low-Rank Approximations of Second-Order Document Representations.

Jarkko Lagus, Janne Sinkkonen, Arto Klami

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2010

Infinite factorization of multiple non-parametric views.

Simon Rogers, Arto Klami, Janne Sinkkonen, Mark A. Girolami, Samuel Kaski

Mach. Learn., 2010

An efficient block model for clustering sparse graphs.

Ádám Gyenge, Janne Sinkkonen, András A. Benczúr

Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

2007

Inferring Vertex Properties from Topology in Large Networks.

Janne Sinkkonen, Janne Aukia, Samuel Kaski

Proceedings of the Mining and Learning with Graphs, 2007

2005

Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets.

Samuel Kaski, Janne Nikkilä, Janne Sinkkonen, Leo Lahti, Juha E. A. Knuuttila, Christophe Roos

IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Discriminative clustering.

Samuel Kaski, Janne Sinkkonen, Arto Klami

Neurocomputing, 2005

Two-Way Latent Grouping Model for User Preference Prediction.

Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski

Proceedings of the UAI '05, 2005

2004

Principle of Learning Metrics for Exploratory Data Analysis.

Samuel Kaski, Janne Sinkkonen

J. VLSI Signal Process., 2004

Sequential information bottleneck for finite data.

Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski

Proceedings of the Machine Learning, 2004

Associative Clustering.

Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Samuel Kaski

Proceedings of the Machine Learning: ECML 2004, 2004

2003

Learning metrics and discriminative clustering.

Janne Sinkkonen

PhD thesis, 2003

Regularized discriminative clustering.

Samuel Kaski, Janne Sinkkonen, Arto Klami

Proceedings of the NNSP 2003, 2003

2002

Clustering Based on Conditional Distributions in an Auxiliary Space.

Janne Sinkkonen, Samuel Kaski

Neural Comput., 2002

Discriminative Clustering: Optimal Contingency Tables by Learning Metrics.

Janne Sinkkonen, Samuel Kaski, Janne Nikkilä

Proceedings of the Machine Learning: ECML 2002, 2002

2001

Bankruptcy analysis with self-organizing maps in learning metrics.

Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen

IEEE Trans. Neural Networks, 2001

A Topography-Preserving Latent Variable Model with Learning Metrics.

Samuel Kaski, Janne Sinkkonen

Proceedings of the Advances in Self-Organising Maps, 2001

Clustering Gene Expression Data by Mutual Information with Gene Function.

Samuel Kaski, Janne Sinkkonen, Janne Nikkilä

Proceedings of the Artificial Neural Networks, 2001

Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics.

Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen

Proceedings of the Data Warehousing and Knowledge Discovery, 2001

2000

Metrics that Learn Relevance.

Samuel Kaski, Janne Sinkkonen

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Clustering by Similarity in an Auxiliary Space.

Janne Sinkkonen, Samuel Kaski

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

Information and Resource Allocation.

Janne Sinkkonen

Proceedings of the Information Theory and the Brain, 2000