Tomi Silander

According to our database, Tomi Silander authored at least 41 papers between 1990 and 2023.

Collaborative distances:

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

2023

Controlling the Solo12 Quadruped Robot with Deep Reinforcement Learning.

Michel Aractingi, Pierre-Alexandre Léziart, Thomas Flayols, Julien Perez, Tomi Silander, Philippe Souères

CoRR, 2023

A Hierarchical Scheme for Adapting Learned Quadruped Locomotion.

Michel Aractingi, Pierre-Alexandre Léziart, Thomas Flayols, Julien Perez, Tomi Silander, Philippe Souères

Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

2022

DiPCAN: Distilling Privileged Information for Crowd-Aware Navigation.

Gianluca Monaci, Michel Aractingi, Tomi Silander

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

2020

Learning Synthetic to Real Transfer for Localization and Navigational Tasks.

Maxime Pietrantoni, Boris Chidlovskii, Tomi Silander

CoRR, 2020

2019

Optimal Policies for Observing Time Series and Related Restless Bandit Problems.

Christopher R. Dance, Tomi Silander

J. Mach. Learn. Res., 2019

2018

Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets.

Elias Jääsaari, Janne Leppä-aho, Tomi Silander, Teemu Roos

Proceedings of the Algorithmic Learning Theory, 2018

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures.

Tomi Silander, Janne Leppä-aho, Elias Jääsaari, Teemu Roos

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Non-Markovian Control with Gated End-to-End Memory Policy Networks.

Julien Perez, Tomi Silander

CoRR, 2017

Scalable transfer learning in heterogeneous, dynamic environments.

Trung Thanh Nguyen, Tomi Silander, Zhuoru Li, Tze-Yun Leong

Artif. Intell., 2017

Hyperparameter sensitivity revisited.

Tomi Silander

Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017

2015

When are Kalman-Filter Restless Bandits Indexable?

Christopher R. Dance, Tomi Silander

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury.

Bolan Su, Thien Anh Dinh, Abhinit Kumar Ambastha, Tianxia Gong, Tomi Silander, Shijian Lu, C. C. Tchoyoson Lim, Boon Chuan Pang, Cheng Kiang Lee, Tze-Yun Leong, Chew Lim Tan

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy.

Truong-Huy Dinh Nguyen, Tomi Silander, Wee Sun Lee, Tze-Yun Leong

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

2013

Unsupervised Medical Image Classification by Combining Case-Based Classifiers.

Thien Anh Dinh, Tomi Silander, Bolan Su, Tianxia Gong, Boon Chuan Pang, C. C. Tchoyoson Lim, Cheng Kiang Lee, Chew Lim Tan, Tze-Yun Leong

Proceedings of the MEDINFO 2013, 2013

Online Feature Selection for Model-based Reinforcement Learning.

Trung Thanh Nguyen, Zhuoru Li, Tomi Silander, Tze-Yun Leong

Proceedings of the 30th International Conference on Machine Learning, 2013

A Dynamic Programming Algorithm for Learning Chain Event Graphs.

Tomi Silander, Tze-Yun Leong

Proceedings of the Discovery Science - 16th International Conference, 2013

Do risk-averse people lie less? A comparison of risk-taking behavior in deceptive and non-deceptive scenarios.

Tei Laine, Kayo Sakamoto, Tomi Silander

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

Transferring Expectations in Model-based Reinforcement Learning.

Trung Thanh Nguyen, Tomi Silander, Tze-Yun Leong

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

An automated pathological class level annotation system for volumetric brain images.

Thien Anh Dinh, Tomi Silander, C. C. Tchoyoson Lim, Tze-Yun Leong

Proceedings of the AMIA 2012, 2012

2010

Learning locally minimax optimal Bayesian networks.

Tomi Silander, Teemu Roos, Petri Myllymäki

Int. J. Approx. Reason., 2010

2009

Locally Minimax Optimal Predictive Modeling with Bayesian Networks.

Tomi Silander, Teemu Roos, Petri Myllymäki

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2008

A Bayesian approach to learning in fault isolation.

Hannes Wettig, Anna Pernestål, Tomi Silander, Mattias Nyberg

Proceedings of the Sixth UAI Bayesian Modelling Applications Workshop Helsinki, 2008

2007

On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter.

Tomi Silander, Petri Kontkanen, Petri Myllymäki

Proceedings of the UAI 2007, 2007

2006

Learning probabilistic decision graphs.

Manfred Jaeger, Jens Dalgaard Nielsen, Tomi Silander

Int. J. Approx. Reason., 2006

Analysis of HIV-1 <i>pol</i> sequences using Bayesian Networks: implications for drug resistance.

Koen Deforche, Tomi Silander, Ricardo Camacho, Zehava Grossman, M. A. Soares, Kristel Van Laethem, Rami Kantor, Yves Moreau, Anne-Mieke Vandamme

Bioinform., 2006

A Simple Approach for Finding the Globally Optimal Bayesian Network Structure.

Tomi Silander, Petri Myllymäki

Proceedings of the UAI '06, 2006

2004

A Scalable Topic-Based Open Source Search Engine.

Wray L. Buntine, Jaakko Löfström, Jukka Perkiö, Sami Perttu, Vladimir Poroshin, Tomi Silander, Henry Tirri, Antti J. Tuominen, Ville H. Tuulos

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

2002

B-Course: A Web-Based Tool for Bayesian and Causal Data Analysis.

Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen

Int. J. Artif. Intell. Tools, 2002

2001

B-Course: A Web Service for Bayesian Data Analysis.

Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen

Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, 2001

Bayesian Data Mining on the Web with B-Course.

Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

2000

On predictive distributions and Bayesian networks.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald

Stat. Comput., 2000

Supervised model-based visualization of high-dimensional data.

Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Tomi Silander, Henry Tirri

Intell. Data Anal., 2000

1999

On Supervised Selection of Bayesian Networks.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Exploring the robustness of Bayesian and information-theoretic methods for predictive inference.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

Minimum Encoding Approaches for Predictive Modeling.

Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

BAYDA: Software for Bayesian Classification and Feature Selection.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

On Bayesian Case Matching.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the Advances in Case-Based Reasoning, 4th European Workshop, 1998

Bayesian and Information-Theories Priors for Bayesian Network Parameters.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald

Proceedings of the Machine Learning: ECML-98, 1998

Batch Classification with Discrete Finite Mixtures.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the Machine Learning: ECML-98, 1998

Bayes Optimal Instance-Based Learning.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the Machine Learning: ECML-98, 1998

1990

Orthogonal type extensions and reductions.

Jukka Paakki, Anssi Karhinen, Tomi Silander

ACM SIGPLAN Notices, 1990