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NIPS
2003
13 years 9 months ago
Sequential Bayesian Kernel Regression
We propose a method for sequential Bayesian kernel regression. As is the case for the popular Relevance Vector Machine (RVM) [10, 11], the method automatically identifies the num...
Jaco Vermaak, Simon J. Godsill, Arnaud Doucet
IJCAI
1993
13 years 9 months ago
FASTUS: A Finite-state Processor for Information Extraction from Real-world Text
Approaches to text processing that rely on parsing the text with a context-free grammar tend to be slow and error-prone because of the massive ambiguity of long sentences. In cont...
Douglas E. Appelt, Jerry R. Hobbs, John Bear, Davi...
ANOR
2010
85views more  ANOR 2010»
13 years 8 months ago
Inventory management with partially observed nonstationary demand
Abstract. We consider a continuous-time model for inventory management with Markov modulated non-stationary demands. We introduce active learning by assuming that the state of the ...
Erhan Bayraktar, Michael Ludkovski
COR
2008
93views more  COR 2008»
13 years 8 months ago
Improving solver success in reaching feasibility for sets of nonlinear constraints
Whether a given nonlinear solver can reach a feasible point for a set of nonlinear constraints depends heavily on the initial point provided. We develop a range of computationally...
Walid Ibrahim, John W. Chinneck
CORR
2006
Springer
101views Education» more  CORR 2006»
13 years 8 months ago
Geographic Gossip: Efficient Aggregation for Sensor Networks
Gossip algorithms for aggregation have recently received significant attention for sensor network applications because of their simplicity and robustness in noisy and uncertain en...
Alexandros G. Dimakis, Anand D. Sarwate, Martin J....