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» Merging Stratified Knowledge Bases under Constraints
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ILP
2005
Springer
14 years 1 months ago
Guiding Inference Through Relational Reinforcement Learning
Abstract. Reasoning plays a central role in intelligent systems that operate in complex situations that involve time constraints. In this paper, we present the Adaptive Logic Inter...
Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachi...
JSAC
2007
104views more  JSAC 2007»
13 years 7 months ago
Tomlinson-Harashima Precoding for Broadcast Channels with Uncertainty
— We consider the design of Tomlinson-Harashima (TH) precoders for broadcast channels in the presence of channel uncertainty. For systems in which uplink-downlink reciprocity is ...
Michael Botros Shenouda, Timothy N. Davidson
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 27 days ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
IJCAI
2007
13 years 9 months ago
Recursive Random Fields
A formula in first-order logic can be viewed as a tree, with a logical connective at each node, and a knowledge base can be viewed as a tree whose root is a conjunction. Markov l...
Daniel Lowd, Pedro Domingos
USENIX
2007
13 years 10 months ago
Energy Management for Hypervisor-Based Virtual Machines
Current approaches to power management are based on operating systems with full knowledge of and full control over the underlying hardware; the distributed nature of multi-layered...
Jan Stoess, Christian Lang, Frank Bellosa