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171
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UM
2009
Springer
15 years 11 months ago
Evaluating Web Based Instructional Models Using Association Rule Mining
Abstract. In this paper we describe an Integrated Development System for Instructional Model for E-learning (INDESIME) to create and to maintain instructional models using adaptive...
Enrique García, Cristóbal Romero, Se...
WOA
2007
15 years 6 months ago
Declarative representation of curricula models: an LTL- and UML-based approach
Abstract—In this work, we present a constrained-based representation for specifying the goals of “course design”, that we call curricula model, and introduce a graphical lang...
Matteo Baldoni, Cristina Baroglio, Giuseppe Berio,...
IJNS
2010
106views more  IJNS 2010»
15 years 3 months ago
Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks
Abstract: Cascade process, such as wastewater treatment plant, includes many nonlinear subsystems and many variables. When the number of sub-systems is big, the input-output relati...
Qiumei Cong, Wen Yu, Tianyou Chai
KDD
2007
ACM
142views Data Mining» more  KDD 2007»
16 years 5 months ago
Towards Privacy-Preserving Model Selection
Abstract. Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perfor...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
152
Voted
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 11 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox