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AIPS
2003
15 years 8 months ago
Learning Rules for Adaptive Planning
This paper presents a novel idea, which combines Planning, Machine Learning and Knowledge-Based techniques. It is concerned with the development of an adaptive planning system tha...
Dimitris Vrakas, Grigorios Tsoumakas, Nick Bassili...
NCI
2004
132views Neural Networks» more  NCI 2004»
15 years 8 months ago
A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition
In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN) capable of robustly categorizing timewarped speech data. We measure ...
Alex Graves, Nicole Beringer, Jürgen Schmidhu...
SDM
2003
SIAM
91views Data Mining» more  SDM 2003»
15 years 8 months ago
An Outlier-based Data Association Method for Linking Criminal Incidents
Serial criminals are a major threat in the modern society. Associating incidents committed by the same offender is of great importance in studying serial criminals. In this paper,...
Song Lin, Donald E. Brown
UAI
2003
15 years 8 months ago
Learning Riemannian Metrics
We consider the problem of learning a Riemannian metric associated with a given differentiable manifold and a set of points. Our approach to the problem involves choosing a metric...
Guy Lebanon
NIPS
1998
15 years 7 months ago
Lazy Learning Meets the Recursive Least Squares Algorithm
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
Mauro Birattari, Gianluca Bontempi, Hugues Bersini