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» Predicting When Not to Predict
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ARCS
2008
Springer
14 years 7 days ago
Potentials of Branch Predictors: From Entropy Viewpoints
Predictors essentially predicts the most recent events based on the record of past events, history. It is obvious that prediction performance largely relies on regularity
Takashi Yokota, Kanemitsu Ootsu, Takanobu Baba
INFOCOM
1999
IEEE
14 years 2 months ago
A Kalman-Filter Method for Power Control in Broadband Wireless Networks
: A Kalman-filter method for power control is proposed for broadband, packet-switched TDMA wireless networks. By observing the temporal correlation of cochannel interference when t...
Kin K. Leung
ICDM
2009
IEEE
142views Data Mining» more  ICDM 2009»
13 years 8 months ago
Building Classifiers with Independency Constraints
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
Toon Calders, Faisal Kamiran, Mykola Pechenizkiy
ICDM
2009
IEEE
139views Data Mining» more  ICDM 2009»
14 years 4 months ago
Towards Context Aware Food Sales Prediction
Sales prediction is a complex task because of large number of factors affecting the demand. We present a context aware sales prediction approach, which selects the base predictor ...
Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy
ICMCS
2006
IEEE
219views Multimedia» more  ICMCS 2006»
14 years 4 months ago
A Block-Matching Based Intra Frame Prediction for H.264/AVC
In the latest video coding standard H.264, intra frame prediction is employed to reduce the blocks’ spatial correlation. In this paper, a new algorithm is proposed to improve th...
Jiheng Yang, Baocai Yin, Yanfeng Sun, Nan Zhang 00...