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» Managing Complexity in Large Learning Robotic Systems
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ICTAI
2010
IEEE
13 years 5 months ago
Combining Mixed Integer Programming and Supervised Learning for Fast Re-planning
We introduce a new plan repair method for problems cast as Mixed Integer Programs. In order to tackle the inherent complexity of these NP-hard problems, our approach relies on the ...
Emmanuel Rachelson, Ala Ben Abbes, Sebastien Dieme...
FLAIRS
2003
13 years 9 months ago
Orthographic Case Restoration Using Supervised Learning Without Manual Annotation
One challenge in text processing is the treatment of case insensitive documents such as speech recognition results. The traditional approach is to re-train a language model exclud...
Cheng Niu, Wei Li 0003, Jihong Ding, Rohini K. Sri...
SIGMOD
2012
ACM
345views Database» more  SIGMOD 2012»
11 years 10 months ago
Shark: fast data analysis using coarse-grained distributed memory
Shark is a research data analysis system built on a novel rained distributed shared-memory abstraction. Shark marries query processing with deep data analysis, providing a unifie...
Cliff Engle, Antonio Lupher, Reynold Xin, Matei Za...
CAISE
2011
Springer
12 years 11 months ago
Supporting Dynamic, People-Driven Processes through Self-learning of Message Flows
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
Christoph Dorn, Schahram Dustdar
ACMIDC
2010
13 years 11 months ago
BeeSim: leveraging wearable computers in participatory simulations with young children
New technologies have enabled students to become active participants in computational simulations of dynamic and complex systems (called Participatory Simulations), providing a &q...
Kylie A. Peppler, Joshua A. Danish, Benjamin Zaitl...