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» A Framework for the Simulation Experimentation Process
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NIPS
2007
14 years 11 months ago
Gaussian Process Models for Link Analysis and Transfer Learning
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
Kai Yu, Wei Chu
CIKM
2009
Springer
15 years 4 months ago
A general markov framework for page importance computation
We propose a General Markov Framework for computing page importance. Under the framework, a Markov Skeleton Process is used to model the random walk conducted by the web surfer on...
Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Ha...
IJON
2002
154views more  IJON 2002»
14 years 9 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
ICASSP
2008
IEEE
15 years 4 months ago
Analytic framework for performance evaluation of multi-antenna WIMAX systems over fading channel
This paper focuses on the uplink of multicell IEEE 802.16-d WiMax systems with OFDM modulation and antenna array at the base stations. We propose an analytical framework to assess...
Daniele Molteni, Roberto Bosisio, Monica Nicoli
POPL
2002
ACM
15 years 10 months ago
An efficient profile-analysis framework for data-layout optimizations
Data-layout optimizations rearrange fields within objects, objects within objects, and objects within the heap, with the goal of increasing spatial locality. While the importance ...
Rastislav Bodík, Shai Rubin, Trishul M. Chi...