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RSEISP
2007
Springer
16 years 21 days ago
Generalizing Data in Natural Language
This paper concerns the development of a new direction in machine learning, called natural induction, which requires from computergenerated knowledge not only to have high predicti...
Ryszard S. Michalski, Janusz Wojtusiak
CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
15 years 6 months ago
Ensemble-on-demand Kalman filter for large-scale systems with time-sparse measurements
The ensemble Kalman filter for data assimilation involves the propagation of a collection of ensemble members. Under the assumption of time-sparse measurements, we avoid propagatin...
In Sung Kim, Bruno Otávio Soares Teixeira, ...
IPPS
2000
IEEE
15 years 11 months ago
Run-Time Support for Adaptive Load Balancing
Abstract. Many parallel scienti c applications have dynamic and irregular computational structure. However, most such applications exhibit persistence of computational load and com...
Milind A. Bhandarkar, Robert Brunner, Laxmikant V....
NIPS
2004
15 years 8 months ago
Hierarchical Bayesian Inference in Networks of Spiking Neurons
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
Rajesh P. N. Rao
MOBIHOC
2006
ACM
16 years 6 months ago
Throughput and delay optimization in interference-limited multihop networks
The performance of a multihop wireless network is typically affected by the interference caused by transmissions in the same network. In a statistical fading environment, the inte...
Ahmed Bader, Eylem Ekici