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CORR
2012
Springer
196views Education» more  CORR 2012»
14 years 2 months ago
PAC-Bayesian Policy Evaluation for Reinforcement Learning
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...
Mahdi Milani Fard, Joelle Pineau, Csaba Szepesv&aa...
AIED
2009
Springer
16 years 1 months ago
An Analysis and Feedback Infrastructure for Argumentation Learning Systems
In this paper, we discuss design considerations and our plans to develop a generalized framework for intelligent support in educational argumentation systems. Our goal is to develo...
Oliver Scheuer, Bruce M. McLaren, Frank Loll, Niel...
BMCBI
2008
177views more  BMCBI 2008»
15 years 6 months ago
Baseline Correction for NMR Spectroscopic Metabolomics Data Analysis
Background: We propose a statistically principled baseline correction method, derived from a parametric smoothing model. It uses a score function to describe the key features of b...
Yuanxin Xi, David M. Rocke
NN
2008
Springer
152views Neural Networks» more  NN 2008»
15 years 6 months ago
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
IWSSD
2000
IEEE
15 years 10 months ago
Issues in Analyzing the Behavior of Event Dispatching Systems
A good architecture is a necessary condition to guarantee that the expected levels of performance, availability, fault tolerance, and scalability are achieved by the implemented s...
Giovanni Bricconi, Emma Tracanella, Elisabetta Di ...