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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 8 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
CDC
2009
IEEE
148views Control Systems» more  CDC 2009»
14 years 13 days ago
Comparison of reduced order lithium-ion battery models for control applications
— Lithium-ion batteries are the core of new plug-in hybrid-electrical vehicles (PHEV) as well as considered in many 2nd generation hybrid electric vehicles (HEV). In most cases t...
Carmelo Speltino, Domenico Di Domenico, Giovanni F...
BIBE
2007
IEEE
110views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
Discrete Methods for Association Search and Status Prediction in Genotype Case-Control Studies
Abstract—Recent improvements in high-throughput genotyping technology make possible genome-wide association studies and status prediction (classification) for common complex dis...
Dumitru Brinza, Alexander Zelikovsky
AIPS
2000
13 years 9 months ago
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
Michael Beetz, Henrik Grosskreutz
EUROMICRO
2006
IEEE
14 years 1 months ago
Real-Time Modelling of Distributed Component-Based Applications
This paper presents a modular modelling methodology to formulate the timing behaviour of real-time distributed component-based applications. It allows to build real-time models of...
Patricia López Martínez, Julio L. Me...