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» Improved Sparse Bump Modeling for Electrophysiological Data
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ICML
2006
IEEE
14 years 8 months ago
Pachinko allocation: DAG-structured mixture models of topic correlations
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
Wei Li, Andrew McCallum
IEICET
2008
136views more  IEICET 2008»
13 years 7 months ago
Bilingual Cluster Based Models for Statistical Machine Translation
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Hirofumi Yamamoto, Eiichiro Sumita
KDD
2012
ACM
220views Data Mining» more  KDD 2012»
11 years 9 months ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
13 years 5 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
13 years 5 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas