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» Discovering Classification from Data of Multiple Sources
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113
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CORR
2007
Springer
164views Education» more  CORR 2007»
15 years 1 months ago
Consistency of the group Lasso and multiple kernel learning
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
Francis Bach
GI
2009
Springer
14 years 11 months ago
Direct Multi-Target Tracking and Multisensor Fusion Using Antenna Arrays
: This paper investigates a direct Target Motion Analysis (TMA) estimator for the problem of calculating the states (i.e. source positions, velocities, etc.) of multiple sources fr...
Marc Oispuu
116
Voted
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
16 years 2 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
15 years 1 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
ESWS
2009
Springer
15 years 8 months ago
Ontology Evolution with Evolva
Abstract. Ontology evolution is a painstaking and time-consuming process, especially in information rich and dynamic domains. While ontology evolution refers both to the adaptation...
Fouad Zablith, Marta Sabou, Mathieu d'Aquin, Enric...