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» Using Learning for Approximation in Stochastic Processes
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PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
13 years 5 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
PR
2007
104views more  PR 2007»
13 years 7 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
PRL
2007
138views more  PRL 2007»
13 years 7 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
ANSS
2000
IEEE
13 years 12 months ago
Flow Control and Dynamic Load Balancing in Time Warp
We present, in this paper, an algorithm which integrates flow control and dynamic load balancing in Time Warp. The algorithm is intended for use in a distributed memory environme...
Myongsu Choe, Carl Tropper
ISWC
2002
IEEE
14 years 10 days ago
Wearable Robotics as a Behavioral Interface - The Study of the Parasitic Humanoid
The Parasitic Humanoid (PH) is a wearable robot for modeling nonverbal human behavior. This anthropomorphic robot senses the behavior of the wearer and has the internal models to ...
Taro Maeda, Hideyuki Ando, Maki Sugimoto, Junji Wa...