Subgroup Discovery Meets Bayesian Networks—An Exceptional Model Mining Approach

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Date: 2011-02-16 08:30:43 Graphical models Networks Bayesian network Group theory Machine learning Subgroup Statistics Bayesian statistics Statistical models		Subgroup Discovery Meets Bayesian Networks—An Exceptional Model Mining Approach Add to Reading List Source URL: www.cs.uu.nl Download Document from Source Website File Size: 861,25 KB Share Document on Facebook

	Measuring small subgroup attacks against Diffie-Hellman Luke Valenta∗ , David Adrian† , Antonio Sanso‡ , Shaanan Cohney∗ , Joshua Fried∗ , Marcella Hastings∗ , J. Alex Halderman† , Nadia Heninger∗ ∗ Uni DocID: 1xVhf - View Document
	The Weierstrass subgroup of a curve has maximal rank. Martine Girard, David R. Kohel and Christophe Ritzenthaler ∗†‡ Abstract We show that the Weierstrass points of the generic curve of genus g over an algebraical DocID: 1vrsl - View Document
	THE SCHUR–ZASSENHAUS THEOREM KEITH CONRAD When N is a normal subgroup of G, can we reconstruct G from N and G/N ? In general, no. For instance, the groups Z/(p2 ) and Z/(p) × Z/(p) (for prime p) are nonisomorphic, but DocID: 1vr1L - View Document
	SOME EXAMPLES IN THE THEORY OF SUBGROUP GROWTH ¨ ller and Jan-Christoph Schlage-Puchta Thomas W. Mu Abstract. By estimating the subgroup numbers associated with various classes of large groups, we exhibit a number of n DocID: 1vpks - View Document
	Week 4 (due April 30) Reading: Srednicky, sections 69, 70. See also a book by Howard Georgi, ”Lie algebras in particle physics”. 1. (a) (10 points) The complex symplectic group Sp(2N, C) is a complex subgroup of GL(2 DocID: 1vpdH - View Document