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» Intelligent Selection of Language Model Training Data
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IJCNN
2007
IEEE
15 years 10 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
AAAI
2006
15 years 5 months ago
Using an Ontology for Knowledge Acquisition
We describe an approach to distributed knowledge acquisition using an ontology. The ontology is used to represent and reason about soldier performance. These methods are embedded ...
Stacy Lovell, Webb Stacy
GPCE
2007
Springer
15 years 10 months ago
42: programmable models of computation for a component-based approach to heterogeneous embedded systems
Every notion of a component for the development of embedded systems has to take heterogeneity into account: components may be hardware or software or OS, synchronous or asynchrono...
Florence Maraninchi, Tayeb Bouhadiba
154
Voted
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 6 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
PR
2007
96views more  PR 2007»
15 years 3 months ago
Weighted and robust learning of subspace representations
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
Danijel Skocaj, Ales Leonardis, Horst Bischof