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Pieter W. Adriaans :
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Zhiming Zhao , Adam Belloum , Cees T. A. M. de Laat , Pieter W. Adriaans , Bob Hertzberger Using Jade agent framework to prototype an e-Science workflow bus. [Citation Graph (0, 0)][DBLP ] CCGRID, 2007, pp:655-660 [Conf ] Martijn L. van Aartrijk , Claudio P. Tagliola , Pieter W. Adriaans AI on the Ocean: the RoboSail Project. [Citation Graph (0, 0)][DBLP ] ECAI, 2002, pp:653-657 [Conf ] Pieter W. Adriaans From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge. [Citation Graph (0, 0)][DBLP ] ECML, 2003, pp:1-8 [Conf ] Pieter W. Adriaans ML Techniques and Text Analysis. [Citation Graph (0, 0)][DBLP ] ECML, 1993, pp:460-469 [Conf ] Pieter W. Adriaans Grammar Induction and Adaptive Information Disclosure. [Citation Graph (0, 0)][DBLP ] EPIA, 2003, pp:6- [Conf ] Pieter W. Adriaans Learning Deterministic DEC Grammars Is Learning Rational Numbers. [Citation Graph (0, 0)][DBLP ] ICGI, 2006, pp:320-326 [Conf ] Pieter W. Adriaans , Ceriel Jacobs Using MDL for Grammar Induction. [Citation Graph (0, 0)][DBLP ] ICGI, 2006, pp:293-306 [Conf ] Pieter W. Adriaans , Marco Vervoort The EMILE 4.1 Grammar Induction Toolbox. [Citation Graph (0, 0)][DBLP ] ICGI, 2002, pp:293-295 [Conf ] Sophia Katrenko , Pieter W. Adriaans Grammatical Inference in Practice: A Case Study in the Biomedical Domain. [Citation Graph (0, 0)][DBLP ] ICGI, 2006, pp:188-200 [Conf ] Arno J. Knobbe , Pieter W. Adriaans Analysing Binary Associations. [Citation Graph (0, 0)][DBLP ] KDD, 1996, pp:311-314 [Conf ] Pieter W. Adriaans , Erik de Haas Grammar Induction as Substructural Inductive Logic Programming. [Citation Graph (0, 0)][DBLP ] Learning Language in Logic, 1999, pp:127-142 [Conf ] Pieter W. Adriaans From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge. [Citation Graph (0, 0)][DBLP ] PKDD, 2003, pp:1-8 [Conf ] Pieter W. Adriaans , Marten Trautwein , Marco Vervoort Towards High Speed Grammar Induction on Large Text Corpora. [Citation Graph (0, 0)][DBLP ] SOFSEM, 2000, pp:173-186 [Conf ] Nada Lavrac , Hiroshi Motoda , Tom Fawcett , Robert Holte , Pat Langley , Pieter W. Adriaans Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2004, v:57, n:1-2, pp:13-34 [Journal ] Zhiming Zhao , Adam Belloum , Cees de Laat , Pieter W. Adriaans , Bob Hertzberger Distributed execution of aggregated multi domain workflows using an agent framework. [Citation Graph (0, 0)][DBLP ] IEEE SCW, 2007, pp:183-190 [Conf ] Sennay Ghebreab , Arnold W. M. Smeulders , Pieter W. Adriaans Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis. [Citation Graph (0, 0)][DBLP ] AIME, 2007, pp:393-397 [Conf ] Pieter W. Adriaans Learning as Data Compression. [Citation Graph (0, 0)][DBLP ] CiE, 2007, pp:11-24 [Conf ] Frank Terpstra , Pieter W. Adriaans Designing Workflow Components for e-Science. [Citation Graph (0, 0)][DBLP ] e-Science, 2006, pp:10- [Conf ] Adianto Wibisono , Dmitry Vasunin , Vladimir Korkhov , Zhiming Zhao , Adam Belloum , Cees de Laat , Pieter W. Adriaans , Bob Hertzberger WS-VLAM: A GT4 Based Workflow Management System. [Citation Graph (0, 0)][DBLP ] International Conference on Computational Science (3), 2007, pp:191-198 [Conf ] Frank Terpstra , Zhiming Zhao , Wico Mulder , Pieter W. Adriaans Towards a Formal Foundation for Aggregating Scientific Workflows. [Citation Graph (0, 0)][DBLP ] International Conference on Computational Science (3), 2007, pp:216-219 [Conf ] Sophia Katrenko , Pieter W. Adriaans Learning Relations from Biomedical Corpora Using Dependency Trees. [Citation Graph (0, 0)][DBLP ] KDECB, 2006, pp:61-80 [Conf ] Pieter W. Adriaans , Paul M. B. Vitányi The Power and Perils of MDL [Citation Graph (0, 0)][DBLP ] CoRR, 2006, v:0, n:, pp:- [Journal ] Semantic Types of Some Generic Relation Arguments: Detection and Evaluation. [Citation Graph (, )][DBLP ] A Local Alignment Kernel in the Context of NLP. [Citation Graph (, )][DBLP ] Using Grammar Induction to Model Adaptive Behavior of Networks of Collaborative Agents. [Citation Graph (, )][DBLP ] MDL in the Limit. [Citation Graph (, )][DBLP ] Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression. [Citation Graph (, )][DBLP ] Collaborative Learning Agents Supporting Service Network Management. [Citation Graph (, )][DBLP ] Structuring and extracting knowledge for the support of hypothesis generation in molecular biology. [Citation Graph (, )][DBLP ] Search in 0.005secs, Finished in 0.282secs