Sciweavers

103 search results - page 2 / 21
» Adaptive Stochastic Resource Control: A Machine Learning App...
Sort
View
ICONIP
2009
14 years 10 months ago
Adaptive Sensor-Driven Neural Control for Learning in Walking Machines
Abstract. Wild rodents learn the danger-predicting meaning of predator bird calls through the paring of cues which are an aversive stimulus (immediate danger signal or unconditione...
Poramate Manoonpong, Florentin Wörgötter
121
Voted
ICMLC
2005
Springer
15 years 6 months ago
Adaptive Online Multi-stroke Sketch Recognition Based on Hidden Markov Model
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...
Zhengxing Sun, Wei Jiang, Jianyong Sun
ECTEL
2007
Springer
15 years 7 months ago
Improving Retrieval of Reusable Learning Resources by Estimating Adaptation Effort
Due to slightly changed scenarios of usage a one-to-one reuse of existing E-Learning resource often is not possible. Actual approaches for retrieving existing E-Learning resources ...
Birgit Zimmermann, Marek Meyer, Christoph Rensing,...
247
Voted
RTAS
2011
IEEE
14 years 4 months ago
Deterministic and Stochastic QoS Provision for Real-Time Control Systems
—In this paper, we propose two adaptive scheduling approaches to support real-time control applications with highly varying computation times. The use of a resource reservation s...
Daniele Fontanelli, Luigi Palopoli, Luca Greco
122
Voted
SAC
2005
ACM
15 years 6 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra