Janne Sinkkonen

24 papers A* 1A 1B 2C 2Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2019 B conf
Low-Rank Approximations of Second-Order Document Representations.
CoNLL
Jarkko Lagus, Janne Sinkkonen, Arto Klami
2012 J jnl
Two-Way Latent Grouping Model for User Preference Prediction
CoRR
Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski
2010 — conf
An efficient block model for clustering sparse graphs.
MLG@KDD
Ádám Gyenge, Janne Sinkkonen, András A. Benczúr
2010 J jnl
Infinite factorization of multiple non-parametric views.
Mach. Learn.
Simon Rogers, Arto Klami, Janne Sinkkonen, Mark A. Girolami, Samuel Kaski
2009 — conf
A Block Model Suitable for Sparse Graphs.
MLG/SRL@ILP
Juuso A. Parkkinen, Janne Sinkkonen, Ádám Gyenge, Samuel Kaski
2008 — conf
Infinite mixtures for multi-relational categorical data.
MLG@ICML
Janne Sinkkonen, Janne Aukia, Samuel Kaski
2007 — conf
Inferring Vertex Properties from Topology in Large Networks.
MLG
Janne Sinkkonen, Janne Aukia, Samuel Kaski
2005 J jnl
Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets.
IEEE ACM Trans. Comput. Biol. Bioinform.
Samuel Kaski, Janne Nikkilä, Janne Sinkkonen, Leo Lahti, Juha E. A. Knuuttila, Christophe Roos
2005 J jnl
Discriminative clustering.
Neurocomputing
Samuel Kaski, Janne Sinkkonen, Arto Klami
2005 A conf
Two-Way Latent Grouping Model for User Preference Prediction.
UAI
Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski
2004 — conf
Associative Clustering.
ECML
Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Samuel Kaski
2004 J jnl
Principle of Learning Metrics for Exploratory Data Analysis.
J. VLSI Signal Process.
Samuel Kaski, Janne Sinkkonen
2004 A* conf
Sequential information bottleneck for finite data.
ICML
Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski
2003 — —
Learning metrics and discriminative clustering.
Janne Sinkkonen
2003 — conf
Regularized discriminative clustering.
NNSP
Samuel Kaski, Janne Sinkkonen, Arto Klami
2002 J jnl
Clustering Based on Conditional Distributions in an Auxiliary Space.
Neural Comput.
Janne Sinkkonen, Samuel Kaski
2002 — conf
Discriminative Clustering: Optimal Contingency Tables by Learning Metrics.
ECML
Janne Sinkkonen, Samuel Kaski, Janne Nikkilä
2001 — conf
A Topography-Preserving Latent Variable Model with Learning Metrics.
WSOM
Samuel Kaski, Janne Sinkkonen
2001 J jnl
Bankruptcy analysis with self-organizing maps in learning metrics.
IEEE Trans. Neural Networks
Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen
2001 C conf
Clustering Gene Expression Data by Mutual Information with Gene Function.
ICANN
Samuel Kaski, Janne Sinkkonen, Janne Nikkilä
2001 B conf
Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics.
DaWaK
Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen
2000 C conf
Clustering by Similarity in an Auxiliary Space.
IDEAL
Janne Sinkkonen, Samuel Kaski
2000 — ch.
Information and Resource Allocation.
Information Theory and the Brain
Janne Sinkkonen
2000 — conf
Metrics that Learn Relevance.
IJCNN (5)
Samuel Kaski, Janne Sinkkonen