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Creating Powerful and Interpretable Models withRegression Networks.

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Change-Point Estimation Using New Minimum Message Length Approximations., , и . PRICAI, том 2417 из Lecture Notes in Computer Science, стр. 244-254. Springer, (2002)Decision Forests with Oblique Decision Trees., и . MICAI, том 4293 из Lecture Notes in Computer Science, стр. 593-603. Springer, (2006)Enhancing MML Clustering Using Context Data with Climate Applications., , и . Australasian Conference on Artificial Intelligence, том 5866 из Lecture Notes in Computer Science, стр. 350-359. Springer, (2009)MML Inference of Decision Graphs with Multi-way Joins and Dynamic Attributes., и . Australian Conference on Artificial Intelligence, том 2903 из Lecture Notes in Computer Science, стр. 269-281. Springer, (2003)Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract)., , , , и . IJCAI, стр. 5005-5009. ijcai.org, (2017)MML inference of Finite State Automata for probabilistic spam detection., , и . ICAPR, стр. 1-6. IEEE, (2015)MML Inference of Oblique Decision Trees., и . Australian Conference on Artificial Intelligence, том 3339 из Lecture Notes in Computer Science, стр. 1082-1088. Springer, (2004)Message Length Formulation of Support Vector Machines for Binary Classification - A Preliminary Scheme., , и . Australian Joint Conference on Artificial Intelligence, том 2557 из Lecture Notes in Computer Science, стр. 119-130. Springer, (2002)Introduction to Ray Solomonoff 85th Memorial Conference.. Algorithmic Probability and Friends, том 7070 из Lecture Notes in Computer Science, стр. 1-36. Springer, (2011)MML Clustering of Continuous-Valued Data Using Gaussian and t Distributions., и . Australian Joint Conference on Artificial Intelligence, том 2557 из Lecture Notes in Computer Science, стр. 143-154. Springer, (2002)