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» Using Derivation Trees for Treebank Error Detection
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ICONIP
2008
13 years 10 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
ISBRA
2010
Springer
13 years 7 months ago
A Consensus Tree Approach for Reconstructing Human Evolutionary History and Detecting Population Substructure
The random accumulation of variations in the human genome over time implicitly encodes a history of how human populations have arisen, dispersed, and intermixed since we emerged as...
Ming-Chi Tsai, Guy E. Blelloch, R. Ravi, Russell S...
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
14 years 6 days ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
GLOBECOM
2006
IEEE
14 years 2 months ago
On the Performance of Cooperative Wireless Fixed Relays in Asymmetric Channels
Abstract— In many scenarios the commonly assumed symmetry in multiple relay channels is unrealistic. Therefore, this paper, through analytical and simulation efforts, investigate...
Abdulkareem Adinoyi, Halim Yanikomeroglu
VTC
2007
IEEE
128views Communications» more  VTC 2007»
14 years 2 months ago
Performance of Space-Code-Division Multiple-Access Systems Using Reduced-Rank Detection
Abstract—In this contribution the performance of multipleinput multiple-output space-division, code-division multipleaccess (MIMO SCDMA) is investigated, when the low-complexity ...
Jiliang Zhang, Lie-Liang Yang