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ICML
2009
IEEE
16 years 7 months ago
Learning from measurements in exponential families
Given a model family and a set of unlabeled examples, one could either label specific examples or state general constraints--both provide information about the desired model. In g...
Percy Liang, Michael I. Jordan, Dan Klein
AAAI
2008
15 years 9 months ago
Learning to Connect Language and Perception
To truly understand language, an intelligent system must be able to connect words, phrases, and sentences to its perception of objects and events in the world. Current natural lan...
Raymond J. Mooney
ICDCSW
2005
IEEE
16 years 10 days ago
A Distributed Architecture for Management and Retrieval of Extended Points of Interest
This paper presents a distributed architecture for the management and retrieval of particular objects called POIsmarts. POIsmarts can be considered as the convergence between virt...
Claudio Bettini, Nicolò Cesa-Bianchi, Danie...
IJCNN
2000
IEEE
15 years 11 months ago
A Neural Support Vector Network Architecture with Adaptive Kernels
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
Pascal Vincent, Yoshua Bengio
HPDC
1999
IEEE
15 years 11 months ago
The UNICORE Architecture Seamless Access to Distributed Resources
Seamless access to different systems of different vendors at different sites is an important prerequisite to effective and efficient use of distributed resources. Learning about n...
Mathilde Romberg