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AUSAI
2008
Springer
15 years 9 months ago
Using Probabilistic Feature Matching to Understand Spoken Descriptions
Abstract. We describe a probabilistic reference disambiguation mechanism developed for a spoken dialogue system mounted on an autonomous robotic agent. Our mechanism performs proba...
Ingrid Zukerman, Enes Makalic, Michael Niemann
AUSAI
2008
Springer
15 years 9 months ago
Discriminating Against New Classes: One-class versus Multi-class Classification
Many applications require the ability to identify data that is anomalous with respect to a target group of observations, in the sense of belonging to a new, previously unseen `atta...
Kathryn Hempstalk, Eibe Frank
AUSAI
2008
Springer
15 years 9 months ago
Learning a Generative Model for Structural Representations
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
Andrea Torsello, David L. Dowe
180
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AUSAI
2008
Springer
15 years 9 months ago
Revisiting Multiple-Instance Learning Via Embedded Instance Selection
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...
James R. Foulds, Eibe Frank
AUSAI
2008
Springer
15 years 9 months ago
Using Gaussian Processes to Optimize Expensive Functions
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...
Marcus R. Frean, Phillip Boyle