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KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 8 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
ICWE
2007
Springer
14 years 2 months ago
Fixing Weakly Annotated Web Data Using Relational Models
In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...
Fatih Gelgi, Srinivas Vadrevu, Hasan Davulcu
JVCIR
2010
147views more  JVCIR 2010»
13 years 6 months ago
Modeling, classifying and annotating weakly annotated images using Bayesian network
We propose a probabilistic graphical model to represent weakly annotated images1 . This model is used to classify images and automatically extend existing annotations to new image...
Sabine Barrat, Salvatore Tabbone
STOC
1994
ACM
128views Algorithms» more  STOC 1994»
13 years 12 months ago
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...
Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, ...
PERVASIVE
2007
Springer
14 years 2 months ago
Using Ground Reaction Forces from Gait Analysis: Body Mass as a Weak Biometric
Ground reaction forces generated during normal walking have recently been used to identify and/or classify individuals based upon the pattern of the forces observed over time. One ...
Jam Jenkins, Carla Schlatter Ellis