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AGENTS
1998
Springer
15 years 4 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 7 days ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...
HPDC
2010
IEEE
15 years 28 days ago
Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network
In preparation for the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report, the climate community will run the Coupled Model Intercomparison Project phase 5 (...
Rajkumar Kettimuthu, Alex Sim, Dan Gunter, Bill Al...
COMCOM
2010
96views more  COMCOM 2010»
14 years 12 months ago
Passive internet measurement: Overview and guidelines based on experiences
Due to its versatility, flexibility and fast development, the modern Internet is far from being well understood in its entirety. A good way to learn more about how the Internet fu...
Wolfgang John, Sven Tafvelin, Tomas Olovsson
ICRA
2007
IEEE
128views Robotics» more  ICRA 2007»
15 years 6 months ago
Autonomous Robotic Sensing Experiments at San Joaquin River
Abstract— Distributed, high-density spatiotemporal observations are proposed for answering many river-related questions, including those pertaining to hydraulics and multi-dimens...
Amarjeet Singh 0003, Maxim A. Batalin, Victor Chen...