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AAAI
2012
12 years 7 days ago
Manifold Warping: Manifold Alignment over Time
Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
Hoa Trong Vu, Clifton Carey, Sridhar Mahadevan
ICML
2009
IEEE
14 years 10 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint
ACL
2010
13 years 8 months ago
Learning Script Knowledge with Web Experiments
We describe a novel approach to unsupervised learning of the events that make up a script, along with constraints on their temporal ordering. We collect naturallanguage descriptio...
Michaela Regneri, Alexander Koller, Manfred Pinkal
JMLR
2012
12 years 9 days ago
Multiresolution Deep Belief Networks
Motivated by the observation that coarse and fine resolutions of an image reveal different structures in the underlying visual phenomenon, we present a model based on the Deep B...
Yichuan Tang, Abdel-rahman Mohamed
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
14 years 4 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp