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» Evaluating Algorithms for Concept Description
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VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
14 years 2 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
ATAL
2009
Springer
14 years 3 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
PVLDB
2010
108views more  PVLDB 2010»
13 years 7 months ago
Retrieving Top-k Prestige-Based Relevant Spatial Web Objects
The location-aware keyword query returns ranked objects that are near a query location and that have textual descriptions that match query keywords. This query occurs inherently i...
Xin Cao, Gao Cong, Christian S. Jensen
JSSPP
2009
Springer
14 years 3 months ago
Scheduling Restartable Jobs with Short Test Runs
In this paper, we examine the concept of giving every job a trial run before committing it to run until completion. Trial runs allow immediate job failures to be detected shortly a...
Ojaswirajanya Thebe, David P. Bunde, Vitus J. Leun...
INTERACTION
2009
ACM
14 years 1 months ago
RoboEarth: connecting robots worldwide
In this paper, we present the core concept and the benefits of an approach called RoboEarth which will be highly beneficial for future robotic applications in science and industry...
Oliver Zweigle, René van de Molengraft, Raf...