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JMLR
2012
11 years 9 months 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
ICML
2004
IEEE
14 years 8 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
WSDM
2009
ACM
117views Data Mining» more  WSDM 2009»
14 years 2 months ago
Query by document
We are experiencing an unprecedented increase of content contributed by users in forums such as blogs, social networking sites and microblogging services. Such abundance of conten...
Yin Yang, Nilesh Bansal, Wisam Dakka, Panagiotis G...
IPPS
2007
IEEE
14 years 1 months ago
Aggregate Threshold Queries in Sensor Networks
— An important class of queries over sensor networks are network-wide aggregation queries. In this work we study a class of aggregation queries which we refer to as aggregate thr...
Izchak Sharfman, Assaf Schuster, Daniel Keren
CLEF
2006
Springer
13 years 11 months ago
MorphoSaurus in ImageCLEF 2006: The Effect of Subwords On Biomedical IR
We here describe the subword approach we used in the 2006 ImageCLEF Medical Image Retrieval task. It is based on the assupmtion that neither fully inflected nor automatically stem...
Philipp Daumke, Jan Paetzold, Kornél G. Mar...