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AAAI
1997
13 years 9 months ago
Reinforcement Learning with Time
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
Daishi Harada
CORR
2010
Springer
123views Education» more  CORR 2010»
13 years 6 months ago
A Stackelberg Strategy for Routing Flow over Time
Routing games are used to to understand the impact of individual users’ decisions on network efficiency. Most prior work on routing games uses a simplified model of network fl...
Umang Bhaskar, Lisa Fleischer, Elliot Anshelevich
SEMWEB
2010
Springer
13 years 5 months ago
Representing and Querying Validity Time in RDF and OWL: A Logic-Based Approach
RDF(S) and OWL 2 currently support only static ontologies. In practice, however, the truth of statements often changes with time, and Semantic Web applications often need to repres...
Boris Motik
VLDB
2007
ACM
108views Database» more  VLDB 2007»
14 years 7 months ago
Time Series Compressibility and Privacy
In this paper we study the trade-offs between time series compressibility and partial information hiding and their fundamental implications on how we should introduce uncertainty ...
Spiros Papadimitriou, Feifei Li, George Kollios, P...
EWSN
2006
Springer
14 years 7 months ago
PAQ: Time Series Forecasting for Approximate Query Answering in Sensor Networks
In this paper, we present a method for approximating the values of sensors in a wireless sensor network based on time series forecasting. More specifically, our approach relies on ...
Daniela Tulone, Samuel Madden