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ECAI
2004
Springer
15 years 3 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
DAC
2010
ACM
14 years 11 months ago
Network on chip design and optimization using specialized influence models
In this study, we propose the use of specialized influence models to capture the dynamic behavior of a Network-onChip (NoC). Our goal is to construct a versatile modeling framewor...
Cristinel Ababei
TON
2008
69views more  TON 2008»
14 years 10 months ago
Order optimal delay for opportunistic scheduling in multi-user wireless uplinks and downlinks
Abstract-- We consider a one-hop wireless network with independent time varying channels and N users, such as a multiuser uplink or downlink. We first show that general classes of ...
Michael J. Neely
PLDI
2011
ACM
14 years 24 days ago
Safe optimisations for shared-memory concurrent programs
Current proposals for concurrent shared-memory languages, including C++ and C, provide sequential consistency only for programs without data races (the DRF guarantee). While the i...
Jaroslav Sevcík
ICFP
2012
ACM
13 years 11 days ago
Functional programming with structured graphs
This paper presents a new functional programming model for graph structures called structured graphs. Structured graphs extend conventional algebraic datatypes with explicit defi...
Bruno C. d. S. Oliveira, William R. Cook