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JMLR
2006
97views more  JMLR 2006»
14 years 9 months ago
Learning Coordinate Covariances via Gradients
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
Sayan Mukherjee, Ding-Xuan Zhou
FINTAL
2006
15 years 1 months ago
Coordination Structures in a Typed Feature Structure Grammar: Formalization and Implementation
Abstract. Every language employs its own coordination strategies, according to the type of coordinating marking, the pattern of marking, the position of the marker, and the phrase ...
Jong-Bok Kim, Jaehyung Yang
IJSYSC
2006
63views more  IJSYSC 2006»
14 years 9 months ago
Experimental demonstration of coordinated control for multi-vehicle teams
: This paper introduces two unique testbeds that have recently been developed at MIT to demonstrate coordination and control algorithms for teams of autonomous UAVs. The first test...
Ellis King, Yoshiaki Kuwata, Jonathan P. How
JMLR
2010
128views more  JMLR 2010»
14 years 7 months ago
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models
Maximum entropy (Maxent) is useful in natural language processing and many other areas. Iterative scaling (IS) methods are one of the most popular approaches to solve Maxent. With...
Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih...
ATAL
2006
Springer
15 years 1 months ago
Multi-agent coordination and control testbed for planning and scheduling strategies
The Multi-Agent Coordination and Control (MACC) testbed is a modelling and simulation environment for manufacturing control. It provides benefits to both the research community an...
Paul Verstraete, Paul Valckenaers, Hendrik Van Bru...