default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTomi Silander
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c31]Vassilissa Lehoux-Lebacque, Tomi Silander, Christelle Loiodice, Seungjoon Lee, Albert Wang, Sofia Michel:
Multi-Agent Path Finding with Real Robot Dynamics and Interdependent Tasks for Automated Warehouses. ECAI 2024: 4393-4401- [i9]Vassilissa Lehoux-Lebacque, Tomi Silander, Christelle Loiodice, Seungjoon Lee, Albert Wang, Sofia Michel:
Multi-Agent Path Finding with Real Robot Dynamics and Interdependent Tasks for Automated Warehouses. CoRR abs/2408.14527 (2024) - [i8]Tomi Silander, Janne Leppä-aho, Elias Jääsaari, Teemu Roos:
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures. CoRR abs/2408.14935 (2024) - 2023
- [c30]Michel Aractingi, Pierre-Alexandre Léziart
, Thomas Flayols, Julien Perez, Tomi Silander, Philippe Souères:
A Hierarchical Scheme for Adapting Learned Quadruped Locomotion. Humanoids 2023: 1-8 - [i7]Michel Aractingi, Pierre-Alexandre Léziart, Thomas Flayols, Julien Perez, Tomi Silander, Philippe Souères:
Controlling the Solo12 Quadruped Robot with Deep Reinforcement Learning. CoRR abs/2309.16683 (2023) - 2022
- [c29]Gianluca Monaci, Michel Aractingi, Tomi Silander:
DiPCAN: Distilling Privileged Information for Crowd-Aware Navigation. Robotics: Science and Systems 2022 - 2020
- [i6]Maxime Pietrantoni, Boris Chidlovskii, Tomi Silander:
Learning Synthetic to Real Transfer for Localization and Navigational Tasks. CoRR abs/2011.10274 (2020)
2010 – 2019
- 2019
- [j9]Christopher R. Dance, Tomi Silander:
Optimal Policies for Observing Time Series and Related Restless Bandit Problems. J. Mach. Learn. Res. 20: 35:1-35:93 (2019) - 2018
- [c28]Tomi Silander, Janne Leppä-aho, Elias Jääsaari, Teemu Roos:
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures. AISTATS 2018: 948-957 - [c27]Elias Jääsaari, Janne Leppä-aho, Tomi Silander, Teemu Roos:
Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets. ALT 2018: 470-488 - 2017
- [j8]Trung Thanh Nguyen, Tomi Silander, Zhuoru Li, Tze-Yun Leong:
Scalable transfer learning in heterogeneous, dynamic environments. Artif. Intell. 247: 70-94 (2017) - [c26]Tomi Silander:
Hyperparameter sensitivity revisited. AMBN 2017: 7 - [i5]Julien Perez, Tomi Silander:
Non-Markovian Control with Gated End-to-End Memory Policy Networks. CoRR abs/1705.10993 (2017) - 2015
- [c25]Christopher R. Dance, Tomi Silander:
When are Kalman-Filter Restless Bandits Indexable? NIPS 2015: 1711-1719 - 2014
- [c24]Truong-Huy Dinh Nguyen, Tomi Silander, Wee Sun Lee, Tze-Yun Leong:
Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy. ICAPS 2014 - [c23]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: 3245-3250 - 2013
- [c22]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 - [c21]Tomi Silander, Tze-Yun Leong:
A Dynamic Programming Algorithm for Learning Chain Event Graphs. Discovery Science 2013: 201-216 - [c20]Trung Thanh Nguyen, Zhuoru Li, Tomi Silander, Tze-Yun Leong:
Online Feature Selection for Model-based Reinforcement Learning. ICML (1) 2013: 498-506 - [c19]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: 739-743 - [i4]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
On Supervised Selection of Bayesian Networks. CoRR abs/1301.6710 (2013) - [i3]Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Minimum Encoding Approaches for Predictive Modeling. CoRR abs/1301.7378 (2013) - 2012
- [c18]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 - [c17]Trung Thanh Nguyen, Tomi Silander, Tze-Yun Leong:
Transferring Expectations in Model-based Reinforcement Learning. NIPS 2012: 2564-2572 - [i2]Tomi Silander, Petri Kontkanen, Petri Myllymäki:
On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter. CoRR abs/1206.5293 (2012) - [i1]Tomi Silander, Petri Myllymäki:
A simple approach for finding the globally optimal Bayesian network structure. CoRR abs/1206.6875 (2012) - 2010
- [j7]Tomi Silander, Teemu Roos, Petri Myllymäki:
Learning locally minimax optimal Bayesian networks. Int. J. Approx. Reason. 51(5): 544-557 (2010)
2000 – 2009
- 2009
- [c16]Tomi Silander, Teemu Roos, Petri Myllymäki:
Locally Minimax Optimal Predictive Modeling with Bayesian Networks. AISTATS 2009: 504-511 - 2008
- [c15]Hannes Wettig, Anna Pernestål, Tomi Silander, Mattias Nyberg:
A Bayesian approach to learning in fault isolation. BMA 2008 - 2007
- [c14]Tomi Silander, Petri Kontkanen, Petri Myllymäki:
On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter. UAI 2007: 360-367 - 2006
- [j6]Koen Deforche, Tomi Silander, Ricardo Camacho, Zehava Grossman, M. A. Soares, Kristel Van Laethem, Rami Kantor, Yves Moreau, Anne-Mieke Vandamme:
Analysis of HIV-1 pol sequences using Bayesian Networks: implications for drug resistance. Bioinform. 22(24): 2975-2979 (2006) - [j5]Manfred Jaeger, Jens Dalgaard Nielsen, Tomi Silander:
Learning probabilistic decision graphs. Int. J. Approx. Reason. 42(1-2): 84-100 (2006) - [c13]Tomi Silander, Petri Myllymäki:
A Simple Approach for Finding the Globally Optimal Bayesian Network Structure. UAI 2006 - 2004
- [c12]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: 228-234 - 2002
- [j4]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): 369-387 (2002) - 2001
- [c11]Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen:
Bayesian Data Mining on the Web with B-Course. ICDM 2001: 626-629 - [c10]Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen:
B-Course: A Web Service for Bayesian Data Analysis. ICTAI 2001: 247-256 - 2000
- [j3]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) - [j2]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald:
On predictive distributions and Bayesian networks. Stat. Comput. 10(1): 39-54 (2000)
1990 – 1999
- 1999
- [c9]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Exploring the robustness of Bayesian and information-theoretic methods for predictive inference. AISTATS 1999 - [c8]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
On Supervised Selection of Bayesian Networks. UAI 1999: 334-342 - 1998
- [c7]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Bayes Optimal Instance-Based Learning. ECML 1998: 77-88 - [c6]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald:
Bayesian and Information-Theories Priors for Bayesian Network Parameters. ECML 1998: 89-94 - [c5]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Batch Classification with Discrete Finite Mixtures. ECML 1998: 208-213 - [c4]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
On Bayesian Case Matching. EWCBR 1998: 13-24 - [c3]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
BAYDA: Software for Bayesian Classification and Feature Selection. KDD 1998: 254-258 - [c2]Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Minimum Encoding Approaches for Predictive Modeling. UAI 1998: 183-192 - 1997
- [c1]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald:
Comparing Predictive Inference Methods for Discrete Domains. AISTATS 1997: 311-318 - 1990
- [j1]Jukka Paakki, Anssi Karhinen, Tomi Silander:
Orthogonal type extensions and reductions. ACM SIGPLAN Notices 25(7): 28-38 (1990)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-28 20:14 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
