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» Feature Construction for Back-Propagation
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AAAI
2006
15 years 8 months ago
kFOIL: Learning Simple Relational Kernels
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
EACL
2006
ACL Anthology
15 years 8 months ago
Using Reinforcement Learning to Build a Better Model of Dialogue State
Given the growing complexity of tasks that spoken dialogue systems are trying to handle, Reinforcement Learning (RL) has been increasingly used as a way of automatically learning ...
Joel R. Tetreault, Diane J. Litman
FLAIRS
2004
15 years 8 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
FLAIRS
2006
15 years 8 months ago
Towards an Ontology-Driven Approach for the Interoperability Problem in Security Compliance
In today's IT-centric, regulated and competitive environment, businesses rely more heavily on IT technologies. Organizations are often challenged by customers, business partn...
Alfred Ka Yiu Wong, Nandan Paramesh, Pradeep Kumar...
ESANN
2001
15 years 8 months ago
Transfer functions: hidden possibilities for better neural networks
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
Wlodzislaw Duch, Norbert Jankowski