| 2006 |
|---|
| 41 | EE | Gert Schmeltz Pedersen,
Anders Ardö,
Marc Cromme,
Mike Taylor,
Wray L. Buntine:
ALVIS - Superpeer Semantic Search Engine - ECDL 2006 Demo Submission.
ECDL 2006: 461-462 |
| 40 | EE | Michel Beigbeder,
Wray L. Buntine,
Wai Gen Yee:
Open source search and research.
IWRIDL 2006: 5 |
| 39 | EE | Wai Gen Yee,
Michel Beigbeder,
Wray L. Buntine:
SIGIR06 workshop report: Open Source Information Retrieval systems (OSIR06).
SIGIR Forum 40(2): 61-65 (2006) |
| 2005 |
|---|
| 38 | EE | Jukka Perkiö,
Wray L. Buntine,
Henry Tirri:
A temporally adaptive content-based relevance ranking algorithm.
SIGIR 2005: 647-648 |
| 37 | EE | Wray L. Buntine,
Aleks Jakulin:
Discrete Component Analysis.
SLSFS 2005: 1-33 |
| 36 | EE | Wray L. Buntine,
Karl Aberer,
Ivana Podnar,
Martin Rajman:
Opportunities from Open Source Search.
Web Intelligence 2005: 2-8 |
| 35 | EE | 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 |
| 34 | EE | Wray L. Buntine:
Open source search: a data mining platform.
SIGIR Forum 39(1): 4-10 (2005) |
| 2004 |
|---|
| 33 | | Wray L. Buntine,
Michael P. Taylor:
ALVIS: Superpeer Semantic Search Engine.
EWIMT 2004 |
| 32 | EE | Wray L. Buntine:
Automated Synthesis of Data Analysis Programs: Learning in Logic.
ILP 2004: 1 |
| 31 | EE | Wray L. Buntine,
Aleks Jakulin:
Applying Discrete PCA in Data Analysis.
UAI 2004: 59-66 |
| 30 | EE | 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 |
| 29 | EE | Jukka Perkiö,
Wray L. Buntine,
Sami Perttu:
Exploring Independent Trends in a Topic-Based Search Engine.
Web Intelligence 2004: 664-668 |
| 2002 |
|---|
| 28 | EE | Wray L. Buntine:
Variational Extensions to EM and Multinomial PCA.
ECML 2002: 23-34 |
| 27 | EE | Alexander G. Gray,
Bernd Fischer,
Johann Schumann,
Wray L. Buntine:
Automatic Derivation of Statistical Algorithms: The EM Family and Beyond.
NIPS 2002: 673-680 |
| 2001 |
|---|
| 26 | EE | 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) |
| 1999 |
|---|
| 25 | EE | Wray L. Buntine,
Bernd Fischer,
Thomas Pressburger:
Towards Automated Synthesis of Data Mining Programs.
KDD 1999: 372-376 |
| 1998 |
|---|
| 24 | | 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 |
| 23 | | Wray L. Buntine:
Trends & Controversies: Will Domain-Specific Code Synthesis Become a Silver Bullet?
IEEE Intelligent Systems 13(2): 9-15 (1998) |
| 1997 |
|---|
| 22 | EE | Wray L. Buntine,
Lixin Su,
A. Richard Newton,
Andrew Mayer:
Adaptive methods for netlist partitioning.
ICCAD 1997: 356-363 |
| 1996 |
|---|
| 21 | | Wray L. Buntine:
Graphical Models for Discivering Knowledge.
Advances in Knowledge Discovery and Data Mining 1996: 59-82 |
| 20 | EE | Wray L. Buntine:
A Guide to the Literature on Learning Probabilistic Networks from Data.
IEEE Trans. Knowl. Data Eng. 8(2): 195-210 (1996) |
| 1995 |
|---|
| 19 | | Wray L. Buntine,
Tarang Patel:
Intelligent Instruments: Discovering How to Turn Spectral Data into Information.
KDD 1995: 33-38 |
| 18 | EE | Wray L. Buntine:
Chain graphs for learning.
UAI 1995: 46-54 |
| 1994 |
|---|
| 17 | EE | Wray L. Buntine,
Hans-Jürgen Bürckert:
On Solving Equations and Disequations.
J. ACM 41(4): 591-629 (1994) |
| 16 | | Wray L. Buntine:
Operations for Learning with Graphical Models.
J. Artif. Intell. Res. (JAIR) 2: 159-225 (1994) |
| 15 | | Katharina Morik,
Francesco Bergadano,
Wray L. Buntine:
Guest Editorial.
Machine Learning 14(1): 137-138 (1994) |
| 1992 |
|---|
| 14 | | Wray L. Buntine,
Tim Niblett:
A Further Comparison of Splitting Rules for Decision-Tree Induction.
Machine Learning 8: 75-85 (1992) |
| 1991 |
|---|
| 13 | | Wray L. Buntine:
Classifiers: A Theoretical and Empirical Study.
IJCAI 1991: 638-644 |
| 12 | EE | Wray L. Buntine:
Some Properties of Plausible Reasoning.
UAI 1991: 44-51 |
| 11 | EE | Wray L. Buntine:
Theory Refinement on Bayesian Networks.
UAI 1991: 52-60 |
| 10 | | Wray L. Buntine:
Modelling default and likelihood reasoning as probabilistic reasoning.
Ann. Math. Artif. Intell. 4: 25-68 (1991) |
| 1990 |
|---|
| 9 | | Wray L. Buntine:
Myths and Legends in Learning Classification Rules.
AAAI 1990: 736-742 |
| 1989 |
|---|
| 8 | | Wray L. Buntine:
A Critique of the Valiant Model.
IJCAI 1989: 837-842 |
| 7 | | Wray L. Buntine:
Learning Classification Rules Using Bayes.
ML 1989: 94-98 |
| 1988 |
|---|
| 6 | | Stephen Muggleton,
Wray L. Buntine:
Machine Invention of First Order Predicates by Inverting Resolution.
ML 1988: 339-352 |
| 5 | | Wray L. Buntine:
Generalized Subsumption and Its Applications to Induction and Redundancy.
Artif. Intell. 36(2): 149-176 (1988) |
| 4 | | Wray L. Buntine:
Decision tree induction systems: A Bayesian analysis.
Int. J. Approx. Reasoning 2(3): 330 (1988) |
| 1987 |
|---|
| 3 | EE | Wray L. Buntine:
Decision Tree Induction Systems: A Bayesian Analysis.
UAI 1987: 109-128 |
| 2 | | Wray L. Buntine:
Induction of Horn Clauses: Methods and the Plausible Generalization Algorithm.
International Journal of Man-Machine Studies 26(4): 499-519 (1987) |
| 1986 |
|---|
| 1 | | Wray L. Buntine:
Generalised Subsumption and its Applications to Induction and Redundancy.
ECAI 1986: 15-23 |
