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SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
15 years 11 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
HUC
2010
Springer
15 years 2 months ago
ElectriSense: single-point sensing using EMI for electrical event detection and classification in the home
This paper presents ElectriSense, a new solution for automatically detecting and classifying the use of electronic devices in a home from a single point of sensing. ElectriSense r...
Sidhant Gupta, Matthew S. Reynolds, Shwetak N. Pat...
RECSYS
2009
ACM
15 years 8 months ago
Latent dirichlet allocation for tag recommendation
Tagging systems have become major infrastructures on the Web. They allow users to create tags that annotate and categorize content and share them with other users, very helpful in...
Ralf Krestel, Peter Fankhauser, Wolfgang Nejdl
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 2 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
106
Voted
CLUSTER
2006
IEEE
15 years 8 months ago
MSSG: A Framework for Massive-Scale Semantic Graphs
This paper presents a middleware framework for storing, accessing and analyzing massive-scale semantic graphs. The framework, MSSG, targets scale-free semantic graphs with O(1012 ...
Timothy D. R. Hartley, Ümit V. Çataly&...