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» Learning Behavior Models for Hybrid Timed Systems
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116
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 1 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
111
Voted
SERP
2007
15 years 2 months ago
From Functional Requirements through Test Evaluation Design to Automatic Test Data Patterns Retrieval - a Concept for Testing of
- Functional testing of software dedicated for hybrid embedded systems should start at the early development phase and requires analysis of discrete and continuous signals, where t...
Justyna Zander-Nowicka, Abel Marrero Pérez,...
113
Voted
ICC
2009
IEEE
106views Communications» more  ICC 2009»
14 years 10 months ago
Hybrid ARQ with Rate Adaptation in Multiband OFDM UWB Systems
In this paper, we propose a cross-layer design (CLD) scheme combining rate adaptation and four types of hybrid automatic repeat request (HARQ) for multiband orthogonal frequency di...
Cheng-Xiang Wang, Heung-Gyoon Ryu, Hsiao-Hwa Chen,...
TELSYS
2002
104views more  TELSYS 2002»
15 years 9 days ago
The Analysis of Queues with Time-Varying Rates for Telecommunication Models
Abstract. Time dependent behavior has an impact on the performance of telecommunication models. Examples include: staffing a call center, pricing the inventory of private line serv...
William A. Massey
111
Voted
CVPR
2006
IEEE
15 years 4 months ago
Multiple Face Model of Hybrid Fourier Feature for Large Face Image Set
The face recognition system based on the only single classifier considering the restricted information can not guarantee the generality and superiority of performances in a real s...
Wonjun Hwang, Gyu-tae Park, Jong Ha Lee, Seok-Cheo...