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CIKM
2010
Springer
15 years 6 months ago
Term necessity prediction
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...
Le Zhao, Jamie Callan
ICCSA
2009
Springer
16 years 2 months ago
Parameter-Less GA Based Crop Parameter Assimilation with Satellite Image
Crop Assimilation Model (CAM) predicts the parameters of agrohydrological models with satellite images. CAM with double layers GA called CAM-DLGA, uses Soil-Water-Atmosphere-Plant ...
Shamim Akhter, Keigo Sakamoto, Yann Chemin, Kento ...
AAAI
2008
15 years 10 months ago
Learning and Inference with Constraints
Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo...
CIMCA
2005
IEEE
15 years 9 months ago
Accurate Electricity Load Forecasting with Artificial Neural Networks
In this paper we present a simple yet accurate model to forecast electricity load with Artificial Neural Networks (ANNs). We analyze the problem domain and choose the most adequat...
Daniel Ortiz Arroyo, Morten K. Skov, Quang Huynh
IJCV
2007
178views more  IJCV 2007»
15 years 7 months ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
In this article we present the integration of 3-D shape knowledge into a variational model for level set based image segmentation and contour based 3-D pose tracking. Given the sur...
Bodo Rosenhahn, Thomas Brox, Joachim Weickert
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