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Note: Links lead to the DBLP on the Web. Henry Tirri Teemu Roos , Peter Grünwald , Petri Myllymäki , Henry Tirri: Generalization to Unseen Cases. BNAIC 2005 : 194-201 Teemu Roos , Peter Grünwald , Petri Myllymäki , Henry Tirri: Generalization to Unseen Cases. NIPS 2005 Jukka Perkiö , Wray L. Buntine , Henry Tirri: A temporally adaptive content-based relevance ranking algorithm. SIGIR 2005 : 647-648 Ville H. Tuulos , Jukka Perkiö , Henry Tirri: Multi-faceted information retrieval system for large scale email archives. SIGIR 2005 : 683 Jukka Perkiö , Ville H. Tuulos , Wray L. Buntine , Henry Tirri: Multi-Faceted Information Retrieval System for Large Scale Email Archives. Web Intelligence 2005 : 557-564 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) Giuseppe Lugano , Petri Nokelainen , Miikka Miettinen , Jaakko Kurhila , Henry Tirri: On the Relationship between Learners' Orientations and Activity in CSCL. ICALT 2004 Jaakko Kurhila , Miikka Miettinen , Petri Nokelainen , Henry Tirri: The Role of the Learning Platform in Student-Centered E-Learning. ICALT 2004 Henry Tirri: Fundamental Challenges of Next Generation Information Retrieval. ICETE (Invited Speakers) 2004 : 7 Ville H. Tuulos , Henry Tirri: Combining Topic Models and Social Networks for Chat Data Mining. Web Intelligence 2004 : 206-213 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 Jari Veijalainen , Vagan Y. Terziyan , Henry Tirri: Transaction Management for M-Commerce at a Mobile Terminal. HICSS 2003 : 89 Petri Nokelainen , Jaakko Kurhila , Miikka Miettinen , Patrik Floréen , Henry Tirri: Evaluating the Role of a Shared Document-Based Annotation Tool in Learner-Centered Collaborative Learning. ICALT 2003 : 200-203 Hannes Wettig , Peter Grünwald , Teemu Roos , Petri Myllymäki , Henry Tirri: When Discriminative Learning of Bayesian Network Parameters Is Easy. IJCAI 2003 : 491-498 Miikka Miettinen , Petri Nokelainen , Patrik Floréen , Henry Tirri, Jaakko Kurhila : EDUCOSM -Personalized Writable Web for Learning Communities. ITCC 2003 : 37-42 Hannes Wettig , Jussi Lahtinen , Tuomas Lepola , Petri Myllymäki , Henry Tirri: Bayesian Analysis of Online Newspaper Log Data. SAINT Workshops 2003 : 282-287 Henry Tirri: Search in Vain: Challenges for Internet Search. IEEE Computer 36 (1): 115-116 (2003) Jaakko Kurhila , Miikka Miettinen , Petri Nokelainen , Henry Tirri: EDUCO - A Collaborative Learning Environment Based on Social Navigation. AH 2002 : 242-252 Jaakko Kurhila , Miikka Miettinen , Petri Nokelainen , Henry Tirri: Enhancing the Sense of Other Learners in Student-Centred Web-Based Education. ICCE 2002 : 318-322 Jaakko Kurhila , Miikka Miettinen , Petri Nokelainen , Henry Tirri: Dynamic Profiling in a Real-Time Collaborative Learning Environment. Intelligent Tutoring Systems 2002 : 239-248 Teemu Roos , Petri Myllymäki , Henry Tirri: A Statistical Modeling Approach to Location Estimation. IEEE Trans. Mob. Comput. 1 (1): 59-69 (2002) 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) Petri Myllymäki , Tomi Silander , Henry Tirri, Pekka Uronen : Bayesian Data Mining on the Web with B-Course. ICDM 2001 : 626-629 Petri Myllymäki , Tomi Silander , Henry Tirri, Pekka Uronen : B-Course: A Web Service for Bayesian Data Analysis. ICTAI 2001 : 247-256 Petri Kontkanen , Petri Myllymäki , Henry Tirri: Classifier Learning with Supervised Marginal Likelihood. UAI 2001 : 277-284 Kirsi Virrantaus , Jouni Markkula , Artem Garmash , Vagan Y. Terziyan , Jari Veijalainen , Artem Katasonov , Henry Tirri: Developing GIS-Supported Location-Based Services. WISE (2) 2001 : 66-75 Petri Kontkanen , Jussi Lahtinen , Petri Myllymäki , Henry Tirri: An Unsupervised Bayesian Distance Measure. EWCBR 2000 : 148-160 Petri Kontkanen , Jussi Lahtinen , Petri Myllymäki , Henry Tirri: Unsupervised Bayesian visualization of high-dimensional data. KDD 2000 : 325-329 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) Petri Kontkanen , Petri Myllymäki , Tomi Silander , Henry Tirri: On Supervised Selection of Bayesian Networks. UAI 1999 : 334-342 Petri Kontkanen , Petri Myllymäki , Tomi Silander , Henry Tirri: Batch Classification with Discrete Finite Mixtures. ECML 1998 : 208-213 Petri Kontkanen , Petri Myllymäki , Tomi Silander , Henry Tirri: Bayes Optimal Instance-Based Learning. ECML 1998 : 77-88 Petri Kontkanen , Petri Myllymäki , Tomi Silander , Henry Tirri, Peter Grünwald : Bayesian and Information-Theories Priors for Bayesian Network Parameters. ECML 1998 : 89-94 Petri Kontkanen , Petri Myllymäki , Tomi Silander , Henry Tirri: On Bayesian Case Matching. EWCBR 1998 : 13-24 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 Petri Kontkanen , Petri Myllymäki , Tomi Silander , Henry Tirri: BAYDA: Software for Bayesian Classification and Feature Selection. KDD 1998 : 254-258 Peter Grünwald , Petri Kontkanen , Petri Myllymäki , Tomi Silander , Henry Tirri: Minimum Encoding Approaches for Predictive Modeling. UAI 1998 : 183-192 Juha Puustjärvi , Henry Tirri, Jari Veijalainen : Reusability and Modularity in Transactional Workflows. Inf. Syst. 22 (2/3): 101-120 (1997) Juha Puustjärvi , Henry Tirri, Jari Veijalainen : Managing Overlapping Transactional Workflows. CAiSE 1996 : 345-361 Henry Tirri, Petri Kontkanen , Petri Myllymäki : A Bayesian Framework for Case-Based Reasoning. EWCBR 1996 : 413-427 Henry Tirri, Petri Kontkanen , Petri Myllymäki : Prababilistic Instance-Based Learning. ICML 1996 : 507-515 Petri Kontkanen , Petri Myllymäki , Henry Tirri: Predictive Data Mining with Finite Mixtures. KDD 1996 : 176-182 Greger Lindén , Henry Tirri, A. Inkeri Verkamo : ALCHEMIST; A General Purpose Transformation Generator. Softw., Pract. Exper. 26 (6): 653-675 (1996) Henry Tirri, Greger Lindén : ALCHEMIST - An Object-Oriented Tool to Build Transformations between Heterogeneous Data Representations. HICSS (2) 1994 : 226-235 Petri Myllymäki , Henry Tirri: Massively Parallel Case-Based Reasoning with Probabilistic Similarity Metrics. EWCBR 1993 : 144-154 Henry Tirri, Jagannathan Srinivasan , Bharat K. Bhargava : Integrating Distributed Data Sources Using Federated Objects. IWDOM 1992 : 315-328 Henry Tirri: Implementing Expert System Rule Conditions by Neural Networks. New Generation Comput. 10 (1): 55-71 (1991) Henry Tirri, Petri Myllymäki , Pekka Orponen , Patrik Floréen : Programming Methods for Neural Computing. Dagstuhl Seminar on Parallelization in Inference Systems 1990 : 357 Robert J. T. Morris , Larry D. Rubin , Henry Tirri: Neural Network Techniques for Object Orientation Detection: Solution by Optimal Feedforward Network and Learning Vector Quantization Approaches. IEEE Trans. Pattern Anal. Mach. Intell. 12 (11): 1107-1115 (1990) Henry Tirri: Applying Neural Computing to Expert System Design: Coping with Complex Sensory Data and Attribute Selection. FODO 1989 : 474-488 Henry Tirri, Kari-Jouko Räihä : Concurrency Control for Relational Databases. ICDE 1987 : 298-303 Kari-Jouko Räihä , Henry Tirri: Towards a Theory of Online Schedulers. PODS 1984 : 323-332 Henry Tirri: Freedom from Deadlock of Locked Transactions in a Distributed Database. PODC 1983 : 267-276 Henry Tirri: Simulation, Reduction and Preservation of Correctness Properties of Parallel Systems. Inf. Process. Lett. 17 (1): 21-27 (1983) 1 [ 9 ] 2 [ 44 ] [ 50 ] [ 52 ] 3 [ 7 ] [ 40 ] [ 42 ] 4 [ 29 ] 5 [ 20 ] 6 [ 18 ] [ 22 ] [ 41 ] [ 49 ] [ 53 ] [ 54 ] 7 [ 29 ] 8 [ 13 ] [ 14 ] [ 15 ] [ 18 ] [ 19 ] [ 20 ] [ 21 ] [ 22 ] [ 23 ] [ 24 ] [ 25 ] [ 26 ] [ 27 ] [ 28 ] [ 30 ] 9 [ 20 ] 10 [ 35 ] [ 36 ] [ 37 ] [ 40 ] [ 42 ] [ 47 ] [ 48 ] 11 [ 26 ] [ 27 ] [ 28 ] [ 39 ] 12 [ 39 ] 13 [ 11 ] [ 12 ] 14 [ 44 ] 15 [ 48 ] 16 [ 29 ] 17 [ 35 ] [ 36 ] [ 37 ] [ 40 ] [ 42 ] [ 47 ] [ 48 ] 18 [ 6 ] 19 [ 7 ] [ 10 ] [ 13 ] [ 14 ] [ 15 ] [ 18 ] [ 19 ] [ 20 ] [ 21 ] [ 22 ] [ 23 ] [ 24 ] [ 25 ] [ 26 ] [ 27 ] [ 28 ] [ 30 ] [ 31 ] [ 32 ] [ 33 ] [ 34 ] [ 39 ] [ 41 ] [ 49 ] [ 53 ] [ 54 ] 20 [ 35 ] [ 36 ] [ 37 ] [ 40 ] [ 42 ] [ 47 ] [ 48 ] 21 [ 7 ] 22 [ 44 ] [ 50 ] [ 51 ] [ 52 ] 23 [ 44 ] 24 [ 44 ] 25 [ 16 ] [ 17 ] 26 [ 3 ] [ 4 ] 27 [ 34 ] [ 41 ] [ 49 ] [ 53 ] [ 54 ] 28 [ 6 ] 29 [ 18 ] [ 19 ] [ 21 ] [ 22 ] [ 23 ] [ 24 ] [ 25 ] [ 26 ] [ 31 ] [ 32 ] [ 33 ] [ 44 ] 30 [ 9 ] 31 [ 29 ] [ 43 ] 32 [ 44 ] 33 [ 44 ] [ 45 ] [ 50 ] [ 51 ] 34 [ 31 ] [ 32 ] [ 33 ] 35 [ 16 ] [ 17 ] [ 29 ] [ 43 ] 36 [ 12 ] 37 [ 29 ] 38 [ 39 ] [ 41 ] [ 49 ]  ©2006 Association for Computing Machinery |
