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» LSH-preserving functions and their applications
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FLAIRS
2003
15 years 7 months ago
Learning from Reinforcement and Advice Using Composite Reward Functions
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Vinay N. Papudesi, Manfred Huber
IJCAI
2003
15 years 7 months ago
Aggregate Functions in Disjunctive Logic Programming: Semantics, Complexity, and Implementation in DLV
Disjunctive Logic Programming (DLP) is a very expressive formalism: it allows to express every property of finite structures that is decidable in the complexity class ¡£¢¤ (...
Tina Dell'Armi, Wolfgang Faber, Giuseppe Ielpa, Ni...
BMVC
2000
15 years 7 months ago
The Cross Ratio: A Revisit to its Probability Density Function
The cross ratio has wide applications in computer vision because of its invariance under projective transformation. In active vision where the projections of quadruples of colline...
D. Q. Huynh
ECAI
2010
Springer
15 years 7 months ago
Learning Aggregation Functions for Expert Search
Abstract. Machine learning techniques are increasingly being applied to problems in the domain of information retrieval and text mining. In this paper we present an application of ...
Ronan Cummins, Mounia Lalmas, Colm O'Riordan
ECRTS
2010
IEEE
15 years 6 months ago
The Demand Bound Function Interface of Distributed Sporadic Pipelines of Tasks Scheduled by EDF
—In distributed real-time embedded systems (DRE), it is common to model an application as a set of task chains. Each chain is activated cyclically and must complete before an end...
Nicola Serreli, Giuseppe Lipari, Enrico Bini