'Collective classification' presentation slideshows

659 views • 65 slides

Efficient Weight Learning for Markov Logic Networks

547 views • 36 slides

Multi-Label Collective Classification

Multi-Label Collective Classification. Xiangnan Kong Xiaoxiao Shi Philip S. Yu. University of Illinois at Chicago. Collective Classification. Conventional classification approaches assume that instances are independent identically distributed ( i.i.d . ). instance. label. x 1.

594 views • 26 slides

Sparsification and Sampling of Networks for Collective Classification

Sparsification and Sampling of Networks for Collective Classification. Tanwistha Saha, Huzefa Rangwala and Carlotta Domeniconi Department of Computer Science George Mason University Fairfax, VA, USA. Outline. Introduction Motivation Related Work Proposed Methods Results

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Classifying Email into Acts

Classifying Email into Acts. From EMNLP-04, Learning to Classify Email into Speech Acts , Cohen-Carvalho-Mitchell An Act is described as a verb-noun pair (e.g., propose meeting, request information) - Not all pairs make sense. One single email message may contain multiple acts.

254 views • 12 slides

node labels as random variables

101 views • 1 slides

node labels as random variables

118 views • 1 slides