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» Gaussian Processes in Machine Learning
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JMLR
2012
12 years 23 days ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
SIGIR
2004
ACM
14 years 3 months ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu
AAAI
2006
13 years 11 months ago
Learning Blocking Schemes for Record Linkage
Record linkage is the process of matching records across data sets that refer to the same entity. One issue within record linkage is determining which record pairs to consider, si...
Matthew Michelson, Craig A. Knoblock
ICCV
2005
IEEE
14 years 3 months ago
Learning Non-Generative Grammatical Models for Document Analysis
— We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...
Michael Shilman, Percy Liang, Paul A. Viola
IWANN
2005
Springer
14 years 3 months ago
Co-evolutionary Learning in Liquid Architectures
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...