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» Optgen: A Generator for Local Optimizations
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ICML
2006
IEEE
16 years 2 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
ICML
2004
IEEE
16 years 2 months ago
Lookahead-based algorithms for anytime induction of decision trees
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch
DSOM
2009
Springer
15 years 8 months ago
Self-optimizing Hybrid Routing in Publish/Subscribe Systems
Rendering networks and distributed systems self-managing and self-optimizing has become a major research focus. This task is especially important for systems, such as publish/subsc...
Arnd Schröter, Daniel Graff, Gero Mühl, ...
GLOBECOM
2007
IEEE
15 years 7 months ago
Optimum Pulse Shaping for OFDM/BFDM Systems Operating in Time Varying Multi-Path Channels
— In this paper, we consider a pulse shaping OFDM/BFDM system operating over doubly dispersive channel. We propose to search the optimal pulse maximizing the signal to interferen...
Imene Trigui, Mohamed Siala, Sofiène Affes,...
ICNS
2007
IEEE
15 years 7 months ago
A Case Study-based Performance Evaluation Framework for CSCF Processes on a Blade-Server
Abstract— The study of protocol behavior and traffic characteristics in a simulated environment is commonly supported by ad-hoc or general purpose simulators (e.g., Opnet, NS-2)...
Preetam Ghosh, Nirmalya Roy, Kalyan Basu, Sajal K....