Jorma Rissanen

Publication Activity (10 Years)

Years Active: 1963-2011
Publications (10 Years): 0

Publications

Jorma Rissanen
Optimal Estimation. Discovery Science (2011)
Jorma Rissanen
Optimal Estimation. ALT (2011)
Jorma Rissanen, Teemu Roos, Petri Myllymäki
Model selection by sequentially normalized least squares. J. Multivar. Anal. 101 (4) (2010)
Teemu Roos, Petri Myllymäki, Jorma Rissanen
MDL denoising revisited. IEEE Trans. Signal Process. 57 (9) (2009)
Jorma Rissanen
Minimum description length. Scholarpedia 3 (8) (2008)
Jorma Rissanen
Optimal estimation of families of models. ITW (2008)
Jorma Rissanen, Peter D. Grünwald, Jukka Heikkonen, Petri Myllymäki, Teemu Roos, Juho Rousu
Information Theoretic Methods for Bioinformatics. EURASIP J. Bioinform. Syst. Biol. 2007 (2007)
Gergely Korodi, Ioan Tabus, Jorma Rissanen, Jaakko Astola
DNA sequence compression - Based on the normalized maximum likelihood model. IEEE Signal Process. Mag. 24 (1) (2007)
Ioan Tabus, Jorma Rissanen, Jaakko Astola
Normalized maximum likelihood models for genomics. ISSPA (2007)
Jorma Rissanen
The Structure Function and Distinguishable Models of Data. Comput. J. 49 (6) (2006)
Jorma Rissanen
Information and Complexity in Statistical Modeling. ITW (2006)
Ioan Tabus, Andrea Hategan, Cristian Mircean, Jorma Rissanen, Ilya Shmulevich, Wei Zhang, Jaakko Astola
Nonlinear modeling of protein expressions in protein arrays. IEEE Trans. Signal Process. 54 (6-2) (2006)
Vibhor Kumar, Jukka Heikkonen, Jorma Rissanen, Kimmo Kaski
Minimum Description Length Denoising With Histogram Models. IEEE Trans. Signal Process. 54 (8) (2006)
Teemu Roos, Petri Myllymäki, Jorma Rissanen
MDL Denoising Revisited CoRR (2006)
Gergely Korodi, Jorma Rissanen, Ioan Tabus
Lossless Data Compression Using Optimal Tree Machines. DCC (2005)
Adriana Vasilache, Ioan Tabus, Jorma Rissanen
Algorithms for Constructing Min-Max Partitions of the Parameter Space for MDL Inference. SSPR/SPR (2004)
Ioan Tabus, Gergely Korodi, Jorma Rissanen
DNA sequence compression using the normalized maximum likelihood model for discrete regression . DCC (2003)
Jorma Rissanen
Complexity of simple nonlogarithmic loss functions. IEEE Trans. Inf. Theory 49 (2) (2003)
Ioan Tabus, Jorma Rissanen, Jaakko Astola
Classification and feature gene selection using the normalized maximum likelihood model for discrete regression. Signal Process. 83 (4) (2003)
Petri Kontkanen, Wray L. Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri
Efficient Computing of Stochastic Complexity. AISTATS (2003)
Boris Ryabko, Jorma Rissanen
Fast adaptive arithmetic code for large alphabet sources with asymmetrical distributions. IEEE Commun. Lett. 7 (1) (2003)
Ioan Tabus, Jorma Rissanen, Jaakko Astola
A classifier based on normalized maximum likelihood model for classes of Boolean regression models. EUSIPCO (2002)
Ioan Tabus, Jorma Rissanen
Asymptotics of greedy algorithms for variable-to-fixed length coding of Markov sources. IEEE Trans. Inf. Theory 48 (7) (2002)
Jorma Rissanen
Kolmogorov's structure function for probability models. ITW (2002)
Jorma Rissanen
Strong optimality of the normalized ML models as universal codes and information in data. IEEE Trans. Inf. Theory 47 (5) (2001)
Ioan Tabus, Gergely Korodi, Jorma Rissanen
Text Compression Based on Variable-to-Fixed Codes for Markov Sources. Data Compression Conference (2000)
Ciprian Doru Giurcaneanu, Ioan Tabus, Jorma Rissanen
MDL based digital signal segmentation. EUSIPCO (2000)
Jorma Rissanen
MDL Denoising. IEEE Trans. Inf. Theory 46 (7) (2000)
Jorma Rissanen
Rejoinder. Comput. J. 42 (4) (1999)
Jorma Rissanen
Fast Universal Coding With Context Models. IEEE Trans. Inf. Theory 45 (4) (1999)
Jorma Rissanen
Discussion of Paper 'Minimum Message Length and Kolmogorov Complexity' by C. S. Wallace and D. L. Dowe. Comput. J. 42 (4) (1999)
Jorma Rissanen
Hypothesis Selection and Testing by the MDL Principle. Comput. J. 42 (4) (1999)
Andrew R. Barron, Jorma Rissanen, Bin Yu
The Minimum Description Length Principle in Coding and Modeling. IEEE Trans. Inf. Theory 44 (6) (1998)
Ioan Tabus, Jorma Rissanen, Jaakko Astola
Adaptive L-Predictors Based on Finite State Machine Context Selection. ICIP (1) (1997)
Jorma Rissanen
Stochastic Complexity in Learning. J. Comput. Syst. Sci. 55 (1) (1997)
Manish Mehta, Rakesh Agrawal, Jorma Rissanen
SLIQ: A Fast Scalable Classifier for Data Mining. EDBT (1996)
Søren Forchhammer, Jorma Rissanen
Partially hidden Markov models. IEEE Trans. Inf. Theory 42 (4) (1996)
Jorma Rissanen
Fisher information and stochastic complexity. IEEE Trans. Inf. Theory 42 (1) (1996)
Marcelo J. Weinberger, Jorma Rissanen, Ronald Arps
Applications of universal context modeling to lossless compression of gray-scale images. IEEE Trans. Image Process. 5 (4) (1996)
Jorma Rissanen
Stochastic complexity in learning. EuroCOLT (1995)
Marcelo J. Weinberger, Jorma Rissanen, Meir Feder
A universal finite memory source. IEEE Trans. Inf. Theory 41 (3) (1995)
Manish Mehta, Jorma Rissanen, Rakesh Agrawal
MDL-Based Decision Tree Pruning. KDD (1995)
Søren Forchhammer, Jorma Rissanen
Coding with Partially Hidden Markov Models. Data Compression Conference (1995)
Jorma Rissanen, Eric Sven Ristad
Language acquisition in the MDL framework. Language Computations (1992)
Jorma Rissanen, Terry P. Speed, Bin Yu
Density estimation by stochastic complexity. IEEE Trans. Inf. Theory 38 (2) (1992)
Jorma Rissanen, Kottappuram Mohammed Mohiuddin
A multiplication-free multialphabet arithmetic code. IEEE Trans. Commun. 37 (2) (1989)
Jorma Rissanen, Mati Wax
Measures of mutual and causal dependence between two time series. IEEE Trans. Inf. Theory 33 (4) (1987)
Jorma Rissanen
Complexity of strings in the class of Markov sources. IEEE Trans. Inf. Theory 32 (4) (1986)
Stephen Todd, Glen G. Langdon Jr., Jorma Rissanen
Parameter Reduction and Context Selection for Compression of Gray-Scale Images. IBM J. Res. Dev. 29 (2) (1985)
Jorma Rissanen
Universal coding, information, prediction, and estimation. IEEE Trans. Inf. Theory 30 (4) (1984)
Glen G. Langdon Jr., Jorma Rissanen
A Double-Adaptive File Compression Algorithm. IEEE Trans. Commun. 31 (11) (1983)
Glen G. Langdon Jr., Jorma Rissanen
Correction to 'A simple general binary source code' (Sep 82 800-803). IEEE Trans. Inf. Theory 29 (5) (1983)
Jorma Rissanen
A universal data compression system. IEEE Trans. Inf. Theory 29 (5) (1983)
Glen G. Langdon Jr., Jorma Rissanen
A simple general binary source code. IEEE Trans. Inf. Theory 28 (5) (1982)
Jorma Rissanen
Tight lower bounds for optimum code length. IEEE Trans. Inf. Theory 28 (2) (1982)
Jorma Rissanen
On Equivalences of Database Schemes. PODS (1982)
Glen G. Langdon Jr., Jorma Rissanen
Compression of Black-White Images with Arithmetic Coding. IEEE Trans. Commun. 29 (6) (1981)
Jorma Rissanen, Glen G. Langdon Jr.
Universal modeling and coding. IEEE Trans. Inf. Theory 27 (1) (1981)
Jorma Rissanen, Glen G. Langdon Jr.
Arithmetic Coding. IBM J. Res. Dev. 23 (2) (1979)
Jorma Rissanen
Modeling by shortest data description. Autom. 14 (5) (1978)
Jorma Rissanen
Minimax codes for finite alphabets (Corresp.). IEEE Trans. Inf. Theory 24 (3) (1978)
Jorma Rissanen
Theory of Relations for Databases - A Tutorial Survey. MFCS (1978)
Jorma Rissanen
Independent Components of Relations. ACM Trans. Database Syst. 2 (4) (1977)
Jorma Rissanen
Generalized Kraft Inequality and Arithmetic Coding. IBM J. Res. Dev. 20 (3) (1976)
Jorma Rissanen
Basis of invariants and canonical forms for linear dynamic systems. Autom. 10 (2) (1974)
Jorma Rissanen, Bostwick F. Wyman
Duals of input/output maps. Category Theory Applied to Computation and Control (1974)
Peter E. Caines, Jorma Rissanen
Maximum likelihood estimation of parameters in multivariate Gaussian stochastic processes (Corresp.). IEEE Trans. Inf. Theory 20 (1) (1974)
Jorma Rissanen
Bounds for Weight Balanced Trees. IBM J. Res. Dev. 17 (2) (1973)
Jorma Rissanen, L. Barbosa
Properties of infinite covariance matrices and stability of optimum predictors. Inf. Sci. 1 (3) (1969)
Jorma Rissanen
On the theory of self-adjusting models. Autom. 1 (4) (1963)