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» Evaluating Adaptive Problem Selection
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116
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AI
1999
Springer
15 years 2 months ago
Introspective Multistrategy Learning: On the Construction of Learning Strategies
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Michael T. Cox, Ashwin Ram
PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
15 years 1 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...
173
Voted
IEEECSA
2009
15 years 11 days ago
Multiratecast in Wireless Fault Tolerant Sensor and Actuator Networks
We study the multicast problem in wireless sensor networks, where the source can send data to a fixed number of destinations (actuators) at a different rate (multiratecast). A typi...
Xuehong Liu, Arnaud Casteigts, Nishith Goel, Amiya...
132
Voted
RTS
2011
131views more  RTS 2011»
14 years 9 months ago
Global scheduling based reliability-aware power management for multiprocessor real-time systems
Reliability-aware power management (RAPM) has been a recent research focus due the negative effects of the popular power management technique dynamic voltage and frequency scaling ...
Xuan Qi, Dakai Zhu, Hakan Aydin
134
Voted
BIRTHDAY
2005
Springer
15 years 8 months ago
Planning in Answer Set Programming using Ordered Task Decomposition
abstract. In this paper we investigate a formalism for solving planning problems based on ordered task decomposition using Answer Set Programming (ASP). Our planning methodology is...
Jürgen Dix, Ugur Kuter, Dana S. Nau