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CAEPIA
2003
Springer
15 years 3 months ago
Time-Series Prediction: Application to the Short-Term Electric Energy Demand
This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to the 24hour load forecasting problem. Also, based on recorded...
Alicia Troncoso Lora, Jesús Riquelme Santos...
LREC
2008
78views Education» more  LREC 2008»
14 years 11 months ago
Approximating Learning Curves for Active-Learning-Driven Annotation
Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning method...
Katrin Tomanek, Udo Hahn
KDD
2010
ACM
435views Data Mining» more  KDD 2010»
15 years 1 months ago
Topic models with power-law using Pitman-Yor process
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
Issei Sato, Hiroshi Nakagawa
TIT
1998
99views more  TIT 1998»
14 years 9 months ago
Information-Theoretic Image Formation
—The emergent role of information theory in image formation is surveyed. Unlike the subject of information-theoretic communication theory, information-theoretic imaging is far fr...
Joseph A. O'Sullivan, Richard E. Blahut, Donald L....
ICASSP
2009
IEEE
15 years 4 months ago
Subspace tracking of fast time-varying channels in precoded MIMO-OFDM systems
This paper presents a blind subspace-based tracking scheme for precoded MIMO-OFDM systems over rapidly time-varying wireless channels. Subspace-based tracking is normally consider...
Chao-Cheng Tu, Benoît Champagne