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» Generality Is Predictive of Prediction Accuracy
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IMC
2009
ACM
14 years 3 months ago
Scalable proximity estimation and link prediction in online social networks
Proximity measures quantify the closeness or similarity between nodes in a social network and form the basis of a range of applications in social sciences, business, information t...
Han Hee Song, Tae Won Cho, Vacha Dave, Yin Zhang, ...
TON
2010
167views more  TON 2010»
13 years 3 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
RSEISP
2007
Springer
14 years 3 months ago
Generalizing Data in Natural Language
This paper concerns the development of a new direction in machine learning, called natural induction, which requires from computergenerated knowledge not only to have high predicti...
Ryszard S. Michalski, Janusz Wojtusiak
KDD
1999
ACM
152views Data Mining» more  KDD 1999»
14 years 1 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
DATE
2010
IEEE
139views Hardware» more  DATE 2010»
13 years 5 months ago
A general mathematical model of probabilistic ripple-carry adders
Probabilistic CMOS is considered a promising technology for future generations of computing devices. By embracing possibly incorrect calculations, the technology makes it possible ...
Mark S. K. Lau, Keck Voon Ling, Yun-Chung Chu, Aru...