Inductive Intrusion Detection in Flow-Based Network Data using One-Class Support Vector Machines Philipp Winter

First Page		Document Content
Date: 2017-08-25 13:31:01 Machine learning Artificial intelligence Learning Cybernetics Dimension reduction Cognition Model selection Feature detection NetFlow Training test and validation sets Support vector machine Feature selection		Inductive Intrusion Detection in Flow-Based Network Data using One-Class Support Vector Machines Philipp Winter Add to Reading List Source URL: nymity.ch Download Document from Source Website File Size: 1,57 MB Share Document on Facebook

	Abstraction Selection in Model-Based Reinforcement Learning Nan Jiang Alex Kulesza Satinder Singh Computer Science & Engineering, University of Michigan DocID: 1vnBa - View Document
	Overview Introduction Parameter Estimation Model Selection Structure Discovery DocID: 1v46f - View Document
	Machine Learning manuscript No. (will be inserted by the editor) Model Selection in Reinforcement Learning Amir-massoud Farahmand1 , Csaba Szepesv´ ari1 DocID: 1uLfC - View Document
	A Philosophical Analysis of Bayesian Model Selection for Inequality Constrained Models Jan-Willem Romeijn1 and Rens van de Schoot2 1 2 DocID: 1uKWH - View Document
	Conditional Density Estimation by Penalized Likelihood Model Selection and Applications S. X. Cohen (IPANEMA / Synchrotron Soleil) and E. Le Pennec (SELECT / Inria Saclay - Île de France and Université Paris Sud) July DocID: 1uGIO - View Document