Finding Progression Stages in Time-evolving Event Sequences Jaewon Yang†∗ Julian McAuley† Jure Leskovec† Paea LePendu‡ Nigam Shah‡ † Computer Science, Stanford University, {jayang, jmcauley, jure fo - Rényi entropy - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2014-03-21 13:55:25 Statistics Estimation theory Sequence Maximum likelihood estimation Cross entropy Logistic regression Expectationmaximization algorithm Regression analysis		Finding Progression Stages in Time-evolving Event Sequences Jaewon Yang†∗ Julian McAuley† Jure Leskovec† Paea LePendu‡ Nigam Shah‡ † Computer Science, Stanford University, {jayang, jmcauley, jure}@cs.stanfo Add to Reading List Source URL: infolab.stanford.edu Download Document from Source Website File Size: 444,62 KB Share Document on Facebook

	Cross-diffusion systems with entropy structure Ansgar J¨ ungel (TU Vienna) Cross-diffusion systems describe the diffusive interaction of multi-species systems. Examples include multi-species population dynamics, cell bi DocID: 1uigJ - View Document
	Multifidelity preconditioning of the cross-entropy method for rare event simulation and failure probability estimation DocID: 1tGD9 - View Document
	Motivations PRNG Security Model Java SecureRandom Analysis DocID: 1rmDv - View Document
	PDF Document DocID: 1r2P8 - View Document
	Finding Progression Stages in Time-evolving Event Sequences Jaewon Yang†∗ Julian McAuley† Jure Leskovec† Paea LePendu‡ Nigam Shah‡ † Computer Science, Stanford University, {jayang, jmcauley, jure}@cs.stanfo DocID: 1qo0s - View Document