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RTCSA
1998
IEEE
13 years 11 months ago
Wait-Free Snapshots in Real-Time Systems: Algorithms and Performance
Snap-shot mechanisms are used to read a globally consistent set of variable values. Such a mechanism can be used to solve a variety of communication and synchronization problems, ...
Andreas Ermedahl, Hans Hansson, Marina Papatrianta...
BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
SAB
2004
Springer
198views Optimization» more  SAB 2004»
14 years 26 days ago
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems
Abstract. In this paper, we review methods used for macroscopic modeling and analyzing collective behavior of swarm robotic systems. Although the behavior of an individual robot in...
Kristina Lerman, Alcherio Martinoli, Aram Galstyan
EPIA
2003
Springer
14 years 22 days ago
Adaptation to Drifting Concepts
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
Gladys Castillo, João Gama, Pedro Medas
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 8 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan