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» Pruning Training Sets for Learning of Object Categories
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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
14 years 3 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
TOG
2010
157views more  TOG 2010»
13 years 3 months ago
Computer-generated residential building layouts
We present a method for automated generation of building layouts for computer graphics applications. Our approach is motivated by the layout design process developed in architectu...
Paul Merrell, Eric Schkufza, Vladlen Koltun
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
14 years 3 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld
EACL
2006
ACL Anthology
13 years 10 months ago
Weakly Supervised Approaches for Ontology Population
We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...
Hristo Tanev, Bernardo Magnini
WCE
2007
13 years 10 months ago
A Comparison of Classification Techniques for Technical Text Passages
— Our work explores the use of several text categorization techniques for classification of manufacturing quality defect and service shop data sets into fixed categories. Althoug...
Mark M. Kornfein, Helena Goldfarb