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IPPS
2009
IEEE
15 years 9 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader
99
Voted
CIKM
2009
Springer
15 years 9 months ago
Combining labeled and unlabeled data with word-class distribution learning
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kav...
98
Voted
ROBOCUP
2009
Springer
110views Robotics» more  ROBOCUP 2009»
15 years 9 months ago
A Lua-based Behavior Engine for Controlling the Humanoid Robot Nao
The high-level decision making process of an autonomous robot can be seen as an hierarchically organised entity, where strategical decisions are made on the topmost layer, while th...
Tim Niemüller, Alexander Ferrein, Gerhard Lak...
141
Voted
LCN
2008
IEEE
15 years 9 months ago
Understanding and using mobility on Publish/Subscribe based architectures for MANETs
Abstract—Mobile Ad Hoc Networks present several new challenges, mainly due to mobility. Publish/Subscribe is a communication paradigm that fits this network model well since the...
Cristiano G. Rezende, Azzedine Boukerche, Bruno P....
139
Voted
AIIA
2007
Springer
15 years 8 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...