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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 11 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
ICDM
2007
IEEE
162views Data Mining» more  ICDM 2007»
15 years 10 months ago
Exploiting Network Structure for Active Inference in Collective Classification
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
JACIII
2010
135views more  JACIII 2010»
15 years 5 months ago
Neural Network Ensemble-Based Solar Power Generation Short-Term Forecasting
—This paper presents the applicability of artificial neural networks for 24 hour ahead solar power generation forecasting of a 20 kW photovoltaic system, the developed forecastin...
Aymen Chaouachi, Rashad M. Kamel, Ken Nagasaka
CVPR
2010
IEEE
16 years 2 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
PLDI
2009
ACM
16 years 1 months ago
GC assertions: using the garbage collector to check heap properties
This paper introduces GC assertions, a system interface that programmers can use to check for errors, such as data structure invariant violations, and to diagnose performance prob...
Edward Aftandilian, Samuel Z. Guyer