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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 8 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang
UAI
2003
15 years 6 months ago
On Local Optima in Learning Bayesian Networks
This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that i...
Jens D. Nielsen, Tomás Kocka, José M...
WSC
1998
15 years 6 months ago
Customer Interfacing - Lessons Learned
Customer interfacing is the process through which one works with and relates to their customer. Often in the technical world, modelers find it easier to interface with computers r...
David M. Ferrin, Richard P. Lavecchia
132
Voted
ICANN
2003
Springer
15 years 9 months ago
Unsupervised Learning of a Kinematic Arm Model
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Heiko Hoffmann, Ralf Möller
168
Voted
ISCIS
2005
Springer
15 years 10 months ago
Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks
Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...
Zeki Erdem, Robi Polikar, Nejat Yumusak, Fikret S....