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» Approximate Learning of Dynamic Models
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ICML
2007
IEEE
16 years 7 months ago
Fast and effective kernels for relational learning from texts
In this paper, we define a family of syntactic kernels for automatic relational learning from pairs of natural language sentences. We provide an efficient computation of such mode...
Alessandro Moschitti, Fabio Massimo Zanzotto
CVPR
2003
IEEE
16 years 8 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
IJCSA
2008
96views more  IJCSA 2008»
15 years 6 months ago
Integration of Educational Specifications and Standards to Support Adaptive Learning Scenarios in ADAPTAPlan
ADAPTAPlan project provides dynamic assistance for reducing authors' effort in developing instructional design tasks using user modelling, planning and machine learning techn...
Silvia Baldiris, Olga C. Santos, Carmen Barrera, J...
RSS
2007
159views Robotics» more  RSS 2007»
15 years 7 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...
ECRTS
2008
IEEE
15 years 8 months ago
Dynamic Reconfiguration for Adaptive Multiversion Real-Time Systems
Modern real-time systems must be designed to be highly adaptable, reacting to aperiodic events in a predictable manner and exhibiting graceful degradation in overload scenarios wh...
George Lima, Eduardo Camponogara, Ana Carolina Sok...