Tomi Silander

Publication Activity (10 Years)

Years Active: 1990-2023
Publications (10 Years): 10

Top Topics

Bayesian Network Structures

Reinforcement Learning

Quadruped Robot

Traumatic Brain Injury

Top Venues

Publications

Michel Aractingi, Pierre-Alexandre Léziart, Thomas Flayols, Julien Perez, Tomi Silander, Philippe Souères
Controlling the Solo12 Quadruped Robot with Deep Reinforcement Learning. CoRR (2023)
Michel Aractingi, Pierre-Alexandre Léziart, Thomas Flayols, Julien Perez, Tomi Silander, Philippe Souères
A Hierarchical Scheme for Adapting Learned Quadruped Locomotion. Humanoids (2023)
Gianluca Monaci, Michel Aractingi, Tomi Silander
DiPCAN: Distilling Privileged Information for Crowd-Aware Navigation. Robotics: Science and Systems (2022)
Maxime Pietrantoni, Boris Chidlovskii, Tomi Silander
Learning Synthetic to Real Transfer for Localization and Navigational Tasks. CoRR (2020)
Christopher R. Dance, Tomi Silander
Optimal Policies for Observing Time Series and Related Restless Bandit Problems. J. Mach. Learn. Res. 20 (2019)
Tomi Silander, Janne Leppä-aho, Elias Jääsaari, Teemu Roos
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures. AISTATS (2018)
Elias Jääsaari, Janne Leppä-aho, Tomi Silander, Teemu Roos
Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets. ALT (2018)
Julien Perez, Tomi Silander
Non-Markovian Control with Gated End-to-End Memory Policy Networks. CoRR (2017)
Trung Thanh Nguyen, Tomi Silander, Zhuoru Li, Tze-Yun Leong
Scalable transfer learning in heterogeneous, dynamic environments. Artif. Intell. 247 (2017)
Tomi Silander
Hyperparameter sensitivity revisited. AMBN (2017)
Christopher R. Dance, Tomi Silander
When are Kalman-Filter Restless Bandits Indexable? NIPS (2015)
Truong-Huy Dinh Nguyen, Tomi Silander, Wee Sun Lee, Tze-Yun Leong
Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy. ICAPS (2014)
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
Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury. ICPR (2014)
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
Unsupervised Medical Image Classification by Combining Case-Based Classifiers. MedInfo (2013)
Tei Laine, Kayo Sakamoto, Tomi Silander
Do risk-averse people lie less? A comparison of risk-taking behavior in deceptive and non-deceptive scenarios. CogSci (2013)
Trung Thanh Nguyen, Zhuoru Li, Tomi Silander, Tze-Yun Leong
Online Feature Selection for Model-based Reinforcement Learning. ICML (1) (2013)
Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
Minimum Encoding Approaches for Predictive Modeling CoRR (2013)
Tomi Silander, Tze-Yun Leong
A Dynamic Programming Algorithm for Learning Chain Event Graphs. Discovery Science (2013)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
On Supervised Selection of Bayesian Networks CoRR (2013)
Tomi Silander, Petri Kontkanen, Petri Myllymäki
On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter CoRR (2012)
Trung Thanh Nguyen, Tomi Silander, Tze-Yun Leong
Transferring Expectations in Model-based Reinforcement Learning. NIPS (2012)
Thien Anh Dinh, Tomi Silander, C. C. Tchoyoson Lim, Tze-Yun Leong
An automated pathological class level annotation system for volumetric brain images. AMIA (2012)
Tomi Silander, Petri Myllymäki
A simple approach for finding the globally optimal Bayesian network structure. CoRR (2012)
Tomi Silander, Teemu Roos, Petri Myllymäki
Learning locally minimax optimal Bayesian networks. Int. J. Approx. Reason. 51 (5) (2010)
Tomi Silander, Teemu Roos, Petri Myllymäki
Locally Minimax Optimal Predictive Modeling with Bayesian Networks. AISTATS (2009)
Hannes Wettig, Anna Pernestål, Tomi Silander, Mattias Nyberg
A Bayesian approach to learning in fault isolation. BMA (2008)
Tomi Silander, Petri Kontkanen, Petri Myllymäki
On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter. UAI (2007)
Manfred Jaeger, Jens Dalgaard Nielsen, Tomi Silander
Learning probabilistic decision graphs. Int. J. Approx. Reason. 42 (1-2) (2006)
Tomi Silander, Petri Myllymäki
A Simple Approach for Finding the Globally Optimal Bayesian Network Structure. UAI (2006)
Koen Deforche, Tomi Silander, Ricardo Camacho, Zehava Grossman, M. A. Soares, Kristel Van Laethem, Rami Kantor, Yves Moreau, Anne-Mieke Vandamme
sequences using Bayesian Networks: implications for drug resistance. Bioinform. 22 (24) (2006)
Wray L. Buntine, Jaakko Löfström, Jukka Perkiö, Sami Perttu, Vladimir Poroshin, Tomi Silander, Henry Tirri, Antti J. Tuominen, Ville H. Tuulos
A Scalable Topic-Based Open Source Search Engine. Web Intelligence (2004)
Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen
B-Course: A Web-Based Tool for Bayesian and Causal Data Analysis. Int. J. Artif. Intell. Tools 11 (3) (2002)
Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen
B-Course: A Web Service for Bayesian Data Analysis. ICTAI (2001)
Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen
Bayesian Data Mining on the Web with B-Course. ICDM (2001)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald
On predictive distributions and Bayesian networks. Stat. Comput. 10 (1) (2000)
Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Tomi Silander, Henry Tirri
Supervised model-based visualization of high-dimensional data. Intell. Data Anal. 4 (3-4) (2000)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
Exploring the robustness of Bayesian and information-theoretic methods for predictive inference. AISTATS (1999)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
On Supervised Selection of Bayesian Networks. UAI (1999)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
BAYDA: Software for Bayesian Classification and Feature Selection. KDD (1998)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
Batch Classification with Discrete Finite Mixtures. ECML (1998)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald
Bayesian and Information-Theories Priors for Bayesian Network Parameters. ECML (1998)
Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
Minimum Encoding Approaches for Predictive Modeling. UAI (1998)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
On Bayesian Case Matching. EWCBR (1998)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
Bayes Optimal Instance-Based Learning. ECML (1998)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald
Comparing Predictive Inference Methods for Discrete Domains. AISTATS (1997)
Jukka Paakki, Anssi Karhinen, Tomi Silander
Orthogonal type extensions and reductions. ACM SIGPLAN Notices 25 (7) (1990)