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CVPR
2011
IEEE
13 years 7 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...
JOT
2007
124views more  JOT 2007»
13 years 10 months ago
Displaying Updated Stock Quotes
This paper describes how to extract stock quote data and display it with a dynamic update (using free, but delayed data streams). As a part of the architecture of the program, we ...
Douglas Lyon
WWW
2011
ACM
13 years 5 months ago
Truthy: mapping the spread of astroturf in microblog streams
Online social media are complementing and in some cases replacing person-to-person social interaction and redefining the diffusion of information. In particular, microblogs have ...
Jacob Ratkiewicz, Michael Conover, Mark Meiss, Bru...
ICDM
2010
IEEE
137views Data Mining» more  ICDM 2010»
13 years 8 months ago
Automated Prompting in a Smart Home Environment
With more older adults and people with cognitive disorders preferring to stay independently at home, prompting systems that assist with Activities of Daily Living (ADLs) are in
Barnan Das, Chao Chen, Nairanjana Dasgupta, Diane ...
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
13 years 11 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens