2008 |
37 | | David A. McAllester,
Petri Myllymäki:
UAI 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, July 9-12, 2008, Helsinki, Finland
AUAI Press 2008 |
36 | | Petri Kontkanen,
Petri Myllymäki:
An Empirical Comparison of NML Clustering Algorithms.
ITSL 2008: 125-131 |
35 | | Tommi Mononen,
Petri Myllymäki:
On the Multinomial Stochastic Complexity and its Connection to the Birthday Problem.
ITSL 2008: 17-22 |
2007 |
34 | EE | Tommi Mononen,
Petri Myllymäki:
Fast NML Computation for Naive Bayes Models.
Discovery Science 2007: 151-160 |
33 | EE | Petri Kontkanen,
Petri Myllymäki:
A linear-time algorithm for computing the multinomial stochastic complexity.
Inf. Process. Lett. 103(6): 227-233 (2007) |
2006 |
32 | | Teemu Roos,
Tuomas Heikkilä,
Petri Myllymäki:
A Compression-Based Method for Stemmatic Analysis.
ECAI 2006: 805-806 |
31 | EE | Tomi Silander,
Petri Myllymäki:
A Simple Approach for Finding the Globally Optimal Bayesian Network Structure.
UAI 2006 |
30 | EE | Teemu Roos,
Petri Myllymäki,
Jorma Rissanen:
MDL Denoising Revisited
CoRR abs/cs/0609138: (2006) |
2005 |
29 | | Teemu Roos,
Peter Grünwald,
Petri Myllymäki,
Henry Tirri:
Generalization to Unseen Cases.
BNAIC 2005: 194-201 |
28 | EE | Petri Kontkanen,
Petri Myllymäki:
A Fast Normalized Maximum Likelihood Algorithm for Multinomial Data.
IJCAI 2005: 1613-1615 |
27 | EE | Teemu Roos,
Peter Grünwald,
Petri Myllymäki,
Henry Tirri:
Generalization to Unseen Cases.
NIPS 2005 |
26 | EE | Teemu Roos,
Hannes Wettig,
Peter Grünwald,
Petri Myllymäki,
Henry Tirri:
On Discriminative Bayesian Network Classifiers and Logistic Regression.
Machine Learning 59(3): 267-296 (2005) |
2003 |
25 | | Hannes Wettig,
Peter Grünwald,
Teemu Roos,
Petri Myllymäki,
Henry Tirri:
When Discriminative Learning of Bayesian Network Parameters Is Easy.
IJCAI 2003: 491-498 |
24 | EE | Hannes Wettig,
Jussi Lahtinen,
Tuomas Lepola,
Petri Myllymäki,
Henry Tirri:
Bayesian Analysis of Online Newspaper Log Data.
SAINT Workshops 2003: 282-287 |
2002 |
23 | EE | Teemu Roos,
Petri Myllymäki,
Henry Tirri:
A Statistical Modeling Approach to Location Estimation.
IEEE Trans. Mob. Comput. 1(1): 59-69 (2002) |
22 | EE | Teemu Roos,
Petri Myllymäki,
Henry Tirri,
Pauli Misikangas,
Juha Sievänen:
A Probabilistic Approach to WLAN User Location Estimation.
IJWIN 9(3): 155-164 (2002) |
21 | EE | Petri Myllymäki,
Tomi Silander,
Henry Tirri,
Pekka Uronen:
B-Course: A Web-Based Tool for Bayesian and Causal Data Analysis.
International Journal on Artificial Intelligence Tools 11(3): 369-387 (2002) |
2001 |
20 | EE | Petri Myllymäki,
Tomi Silander,
Henry Tirri,
Pekka Uronen:
Bayesian Data Mining on the Web with B-Course.
ICDM 2001: 626-629 |
19 | EE | Petri Myllymäki,
Tomi Silander,
Henry Tirri,
Pekka Uronen:
B-Course: A Web Service for Bayesian Data Analysis.
ICTAI 2001: 247-256 |
18 | EE | Petri Kontkanen,
Petri Myllymäki,
Henry Tirri:
Classifier Learning with Supervised Marginal Likelihood.
UAI 2001: 277-284 |
2000 |
17 | EE | Petri Kontkanen,
Jussi Lahtinen,
Petri Myllymäki,
Henry Tirri:
An Unsupervised Bayesian Distance Measure.
EWCBR 2000: 148-160 |
16 | EE | Petri Kontkanen,
Jussi Lahtinen,
Petri Myllymäki,
Henry Tirri:
Unsupervised Bayesian visualization of high-dimensional data.
KDD 2000: 325-329 |
15 | EE | Petri Kontkanen,
Jussi Lahtinen,
Petri Myllymäki,
Tomi Silander,
Henry Tirri:
Supervised model-based visualization of high-dimensional data.
Intell. Data Anal. 4(3-4): 213-227 (2000) |
1999 |
14 | EE | Petri Kontkanen,
Petri Myllymäki,
Tomi Silander,
Henry Tirri:
On Supervised Selection of Bayesian Networks.
UAI 1999: 334-342 |
13 | | Petri Myllymäki:
Massively Parallel Probabilistic Reasoning with Boltzmann Machines.
Appl. Intell. 11(1): 31-44 (1999) |
1998 |
12 | | Petri Kontkanen,
Petri Myllymäki,
Tomi Silander,
Henry Tirri:
Batch Classification with Discrete Finite Mixtures.
ECML 1998: 208-213 |
11 | | Petri Kontkanen,
Petri Myllymäki,
Tomi Silander,
Henry Tirri:
Bayes Optimal Instance-Based Learning.
ECML 1998: 77-88 |
10 | | Petri Kontkanen,
Petri Myllymäki,
Tomi Silander,
Henry Tirri,
Peter Grünwald:
Bayesian and Information-Theories Priors for Bayesian Network Parameters.
ECML 1998: 89-94 |
9 | EE | Petri Kontkanen,
Petri Myllymäki,
Tomi Silander,
Henry Tirri:
On Bayesian Case Matching.
EWCBR 1998: 13-24 |
8 | | Esa Koskimäki,
Janne Göös,
Petri Kontkanen,
Petri Myllymäki,
Henry Tirri:
Comparing Soft Computing Methods in Prediction of Manufacturing Data.
IEA/AIE (Vol. 2) 1998: 775-784 |
7 | | Petri Kontkanen,
Petri Myllymäki,
Tomi Silander,
Henry Tirri:
BAYDA: Software for Bayesian Classification and Feature Selection.
KDD 1998: 254-258 |
6 | EE | Peter Grünwald,
Petri Kontkanen,
Petri Myllymäki,
Tomi Silander,
Henry Tirri:
Minimum Encoding Approaches for Predictive Modeling.
UAI 1998: 183-192 |
1996 |
5 | | Henry Tirri,
Petri Kontkanen,
Petri Myllymäki:
A Bayesian Framework for Case-Based Reasoning.
EWCBR 1996: 413-427 |
4 | | Henry Tirri,
Petri Kontkanen,
Petri Myllymäki:
Prababilistic Instance-Based Learning.
ICML 1996: 507-515 |
3 | | Petri Kontkanen,
Petri Myllymäki,
Henry Tirri:
Predictive Data Mining with Finite Mixtures.
KDD 1996: 176-182 |
1993 |
2 | | Petri Myllymäki,
Henry Tirri:
Massively Parallel Case-Based Reasoning with Probabilistic Similarity Metrics.
EWCBR 1993: 144-154 |
1990 |
1 | | Henry Tirri,
Petri Myllymäki,
Pekka Orponen,
Patrik Floréen:
Programming Methods for Neural Computing.
Dagstuhl Seminar on Parallelization in Inference Systems 1990: 357 |