Wray L. Buntine Papers on DiSC'06 Open source search: a data mining platform Publications Note: Links lead to the DBLP on the Web. Wray L. Buntine Jukka Perkiö , Wray L. Buntine, Henry Tirri : A temporally adaptive content-based relevance ranking algorithm. SIGIR 2005 : 647-648 Wray L. Buntine, Aleks Jakulin : Discrete Component Analysis. SLSFS 2005 : 1-33 Wray L. Buntine, Karl Aberer , Ivana Podnar , Martin Rajman : Opportunities from Open Source Search. Web Intelligence 2005 : 2-8 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 Wray L. Buntine: Open source search: a data mining platform. SIGIR Forum 39 (1): 4-10 (2005) Wray L. Buntine, Michael P. Taylor : ALVIS: Superpeer Semantic Search Engine. EWIMT 2004 Wray L. Buntine: Automated Synthesis of Data Analysis Programs: Learning in Logic. ILP 2004 : 1 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 Jukka Perkiö , Wray L. Buntine, Sami Perttu : Exploring Independent Trends in a Topic-Based Search Engine. Web Intelligence 2004 : 664-668 Wray L. Buntine: Variational Extensions to EM and Multinomial PCA. ECML 2002 : 23-34 Alexander G. Gray , Bernd Fischer , Johann Schumann , Wray L. Buntine: Automatic Derivation of Statistical Algorithms: The EM Family and Beyond. NIPS 2002 : 673-680 Lixin Su , Wray L. Buntine, A. Richard Newton , Bradley S. Peters : Learning as applied to stochastic optimization for standard-cellplacement. IEEE Trans. on CAD of Integrated Circuits and Systems 20 (4): 516-527 (2001) Wray L. Buntine, Bernd Fischer , Thomas Pressburger : Towards Automated Synthesis of Data Mining Programs. KDD 1999 : 372-376 Jonathan J. Oliver , Ted Roush , Paul Gazis , Wray L. Buntine, Rohan A. Baxter , Steven R. Waterhouse : Analysing Rock Samples for the Mars Lander. KDD 1998 : 299-303 Wray L. Buntine: Trends & Controversies: Will Domain-Specific Code Synthesis Become a Silver Bullet? IEEE Intelligent Systems 13 (2): 9-15 (1998) Wray L. Buntine, Lixin Su , A. Richard Newton , Andrew Mayer : Adaptive methods for netlist partitioning. ICCAD 1997 : 356-363 Wray L. Buntine: Graphical Models for Discivering Knowledge. Advances in Knowledge Discovery and Data Mining 1996 : 59-82 Wray L. Buntine: A Guide to the Literature on Learning Probabilistic Networks from Data. IEEE Trans. Knowl. Data Eng. 8 (2): 195-210 (1996) Wray L. Buntine, Tarang Patel : Intelligent Instruments: Discovering How to Turn Spectral Data into Information. KDD 1995 : 33-38 Wray L. Buntine: Chain graphs for learning. UAI 1995 : 46-54 Wray L. Buntine, Hans-Jürgen Bürckert : On Solving Equations and Disequations. J. ACM 41 (4): 591-629 (1994) Wray L. Buntine: Operations for Learning with Graphical Models. J. Artif. Intell. Res. (JAIR) 2 : 159-225 (1994) Katharina Morik , Francesco Bergadano , Wray L. Buntine: Guest Editorial. Machine Learning 14 (1): 137-138 (1994) Wray L. Buntine, Tim Niblett : A Further Comparison of Splitting Rules for Decision-Tree Induction. Machine Learning 8 : 75-85 (1992) Wray L. Buntine: Classifiers: A Theoretical and Empirical Study. IJCAI 1991 : 638-644 Wray L. Buntine: Some Properties of Plausible Reasoning. UAI 1991 : 44-51 Wray L. Buntine: Theory Refinement on Bayesian Networks. UAI 1991 : 52-60 Wray L. Buntine: Modelling default and likelihood reasoning as probabilistic reasoning. Ann. Math. Artif. Intell. 4 : 25-68 (1991) Wray L. Buntine: Myths and Legends in Learning Classification Rules. AAAI 1990 : 736-742 Wray L. Buntine: A Critique of the Valiant Model. IJCAI 1989 : 837-842 Wray L. Buntine: Learning Classification Rules Using Bayes. ML 1989 : 94-98 Stephen Muggleton , Wray L. Buntine: Machine Invention of First Order Predicates by Inverting Resolution. ML 1988 : 339-352 Wray L. Buntine: Generalized Subsumption and Its Applications to Induction and Redundancy. Artif. Intell. 36 (2): 149-176 (1988) Wray L. Buntine: Decision tree induction systems: A Bayesian analysis. Int. J. Approx. Reasoning 2 (3): 330 (1988) Wray L. Buntine: Decision Tree Induction Systems: A Bayesian Analysis. UAI 1987 : 109-128 Wray L. Buntine: Induction of Horn Clauses: Methods and the Plausible Generalization Algorithm. International Journal of Man-Machine Studies 26 (4): 499-519 (1987) Wray L. Buntine: Generalised Subsumption and its Applications to Induction and Redundancy. 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