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CHI
1994
ACM
15 years 2 months ago
Using aggregation and dynamic queries for exploring large data sets
When working with large data sets, users perform three primary types of activities: data manipulation, data analysis, and data visualization. The data manipulation process involve...
Jade Goldstein, Steven F. Roth
SAMOS
2004
Springer
15 years 4 months ago
Constraints Derivation and Propagation for Large-Scale Embedded Systems Exploration
Abstract— The translation of user requirements to system constraints and parameters during an exploration exercise is a hard problem, especially in the context of large scale emb...
Laurentiu Nicolae, Ed F. Deprettere
IJRR
2008
151views more  IJRR 2008»
14 years 10 months ago
Trajectory Optimization using Reinforcement Learning for Map Exploration
Automatically building maps from sensor data is a necessary and fundamental skill for mobile robots; as a result, considerable research attention has focused on the technical chall...
Thomas Kollar, Nicholas Roy
ICML
2006
IEEE
15 years 11 months ago
An intrinsic reward mechanism for efficient exploration
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
Özgür Simsek, Andrew G. Barto
ACSD
2006
IEEE
148views Hardware» more  ACSD 2006»
15 years 4 months ago
Functional Model Exploration for Multimedia Applications via Algebraic Operators
An optimized functional design space exploration method for multimedia applications is proposed. The basis of the method is a way of representing the dependency and the concurrenc...
Shinjiro Kakita, Yosinori Watanabe, Douglas Densmo...