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ECML
2001
Springer
15 years 11 months ago
A Framework for Learning Rules from Multiple Instance Data
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...
Yann Chevaleyre, Jean-Daniel Zucker
IJCAI
2007
15 years 8 months ago
First Order Decision Diagrams for Relational MDPs
Dynamic programming algorithms provide a basic tool identifying optimal solutions in Markov Decision Processes (MDP). The paper develops a representation for decision diagrams sui...
Chenggang Wang, Saket Joshi, Roni Khardon
NIPS
2008
15 years 8 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
ICASSP
2010
IEEE
15 years 7 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
CORR
2010
Springer
73views Education» more  CORR 2010»
15 years 7 months ago
On Touching Triangle Graphs
Abstract. In this paper, we consider the problem of representing graphs by triangles whose sides touch. We present linear time algorithms for creating touching triangles representa...
Emden R. Gansner, Yifan Hu, Stephen G. Kobourov