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EMNLP
2008
15 years 8 months ago
A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers
There is growing interest in applying Bayesian techniques to NLP problems. There are a number of different estimators for Bayesian models, and it is useful to know what kinds of t...
Jianfeng Gao, Mark Johnson
TCAD
1998
115views more  TCAD 1998»
15 years 6 months ago
Probabilistic modeling of dependencies during switching activity analysis
—This paper addresses, from a probabilistic point of view, the issue of switching activity estimation in combinational circuits under the zero-delay model. As the main theoretica...
Radu Marculescu, Diana Marculescu, Massoud Pedram
ICML
2010
IEEE
15 years 4 months ago
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
Carlton Downey, Scott Sanner
ICCAD
2003
IEEE
140views Hardware» more  ICCAD 2003»
16 years 1 days ago
Circuit Simulation of Nanotechnology Devices with Non-monotonic I-V Characteristics
As research begins to explore potential nanotechnologies for future post-CMOS integrated systems, modeling and simulation environments must be developed that can accommodate the c...
Jiayong Le, Lawrence T. Pileggi, Anirudh Devgan
CIMCA
2005
IEEE
15 years 8 months ago
Accurate Electricity Load Forecasting with Artificial Neural Networks
In this paper we present a simple yet accurate model to forecast electricity load with Artificial Neural Networks (ANNs). We analyze the problem domain and choose the most adequat...
Daniel Ortiz Arroyo, Morten K. Skov, Quang Huynh