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» Approximate Learning of Dynamic Models
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ICML
2005
IEEE
16 years 5 months ago
Near-optimal sensor placements in Gaussian processes
When monitoring spatial phenomena, which are often modeled as Gaussian Processes (GPs), choosing sensor locations is a fundamental task. A common strategy is to place sensors at t...
Carlos Guestrin, Andreas Krause, Ajit Paul Singh
ESANN
2007
15 years 6 months ago
Agglomerative Independent Variable Group Analysis
Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
Antti Honkela, Jeremias Seppä, Esa Alhoniemi
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 6 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
15 years 10 months ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
151
Voted
TCSV
2008
195views more  TCSV 2008»
15 years 5 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...