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» Structural Inference of Hierarchies in Networks
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IROS
2007
IEEE
125views Robotics» more  IROS 2007»
15 years 3 months ago
Probabilistic inference for structured planning in robotics
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
Marc Toussaint, Christian Goerick
69
Voted
IV
2009
IEEE
114views Visualization» more  IV 2009»
15 years 4 months ago
Chronos: A Tool for Interactive Scheduling and Visualisation of Task Hierarchies
Visualisation and structuring of tasks in a schedule, from relatively simple activities such as meeting scheduling to more complex ones such as project planning, has been traditio...
Saturnino Luz, Masood Masoodian, Daniel McKenzie, ...
AINA
2003
IEEE
15 years 1 months ago
Formal Verification of Condition Data Flow Diagrams for Assurance of Correct Network Protocols
Condition Data Flow Diagrams (CDFDs) are a formalized notation resulting from the integration of Yourdon Data Flow Diagrams, Petri Nets, and pre-post notation. They are used in th...
Shaoying Liu
CONEXT
2010
ACM
14 years 7 months ago
The Internet is flat: modeling the transition from a transit hierarchy to a peering mesh
Recent measurements and anecdotal evidence indicate that the Internet ecosystem is rapidly evolving from a multi-tier hierarchy built mostly with transit (customer-provider) links...
Amogh Dhamdhere, Constantine Dovrolis
109
Voted
AAAI
2011
13 years 9 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos