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2000 subject classifications admissibility algorithm analysis applications Axiom Bayes estimator Bayesian Bernoulli bounded characteristic function compute condition converges convex convex sets Corollary database defined denote density detection boundary dimension tables e-mail equation example exponential finite fractional Brownian motion gini index given gradient tree hash table Hence implies improper prior independent inequality Institute of Mathematical interval Keywords and phrases leaf Lemma likelihood ratio linear Markov chain Markov processes martingale Math Mathematical Statistics Lecture maximum likelihood estimator measure method minimax Minimax estimation Monograph Series Vol multivariate normal distribution observations obtain paper parameter space Poisson posterior Prakasa Rao prior probability proof of Theorem properties Proposition Q-Q plot random variables respect sample satisfies Section sequence Shanbhag squared error loss Statistics Lecture Notes stochastic integral stochastic processes subset symmetric theory variance vector zero Zidek
Page 375 - R. Agrawal, S. Ghosh, T. Imielinski, B. Iyer, and A.. Swami. An Interval Classifier for Database Mining Applications.
Page 408 - Science, and the American Association for the Advancement of Science, as well as a member of other professional associations.
Page 227 - A Note on Taking a Covariable into Account Hans K. Ury Use of a Regression Technique to Produce Area Breakdowns of the Monthly National Estimates of Retail Trade Ralph W. Woodruff Producer and Consumer Risks for...
Page 376 - Kearns, and Y. Mansour. Applying the weak learning framework to understand and improve C4.5. In Proceedings of the 13th International Conference on Machine Learning, pages 96-104.
Page 348 - Data mining is the process of extracting valid, previously unknown, comprehensible, and actionable information from large databases and using it to make crucial business decisions.
Page 375 - In Proceedings of the 2nd International Conference on Knowledge Discovery in Databases and Data Mining, Portland, Oregon, USA.
Page 248 - Sur la liaison et la division des points d'un ensemble fini,
Page 78 - Zur Theorie der stochastichen Prozesse (Existenz-und Eindeutigkeitssatze)" [Math. Ann. 113, 1936]. In these papers I saw a powerful analytic method to study the transition probabilities of the process, namely Kolmogorov's parabolic equation and its extension by Feller. But I wanted to study the paths of Markov processes in the same way as Levy observed differential processes. Observing the intuitive background in which Kolmogorov derived his equation (explained in the Introduction of the paper),...