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NIPS
1997
15 years 9 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
224
Voted
IJCAI
1989
15 years 8 months ago
Bidirectional Use of Knowledge in the Multi-modal NL Access System XTRA
The acceptability and effectiveness of an expert system is critically dependent on its user interface. Natural language could be a well-suited communicative medium; however, curre...
Jürgen Allgayer, Roman M. Jansen-Winkeln, Car...
218
Voted
CN
2008
176views more  CN 2008»
15 years 7 months ago
ARQ-based cross-layer optimization for wireless multicarrier transmission on cognitive radio networks
The primary feature of cognitive radios for wireless communication systems is the capability to optimize the relevant communication parameters given a dynamic wireless channel env...
Alexandre de Baynast, Petri Mähönen, Mar...
CORR
2010
Springer
172views Education» more  CORR 2010»
15 years 7 months ago
Seeing Through Black Boxes : Tracking Transactions through Queues under Monitoring Resource Constraints
The problem of optimal allocation of monitoring resources for tracking transactions progressing through a distributed system, modeled as a queueing network, is considered. Two for...
Animashree Anandkumar, Ting He, Chatschik Bisdikia...
CIKM
2010
Springer
15 years 5 months ago
Automatic schema merging using mapping constraints among incomplete sources
Schema merging is the process of consolidating multiple schemas into a unified view. The task becomes particularly challenging when the schemas are highly heterogeneous and autono...
Xiang Li 0002, Christoph Quix, David Kensche, Sand...