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CGO
2007
IEEE
16 years 1 months ago
On the Complexity of Register Coalescing
Memory transfers are becoming more important to optimize, for both performance and power consumption. With this goal in mind, new register allocation schemes are developed, which ...
Florent Bouchez, Alain Darte, Fabrice Rastello
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
16 years 26 days ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
16 years 24 days ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...
IEEEARES
2006
IEEE
16 years 24 days ago
Diagnosis of Complex Systems Using Ant Colony Decision Petri Nets
Failure diagnosis in large and complex systems is a critical task. A discrete event system (DES) approach to the problem of failure diagnosis is presented in this paper. A classic...
Calin Ciufudean, Adrian Graur, Constantin Filote, ...
ECAI
2004
Springer
16 years 4 days 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