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133
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CORR
2012
Springer
196views Education» more  CORR 2012»
13 years 8 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...
85
Voted
AIED
2009
Springer
15 years 7 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...
111
Voted
BMCBI
2008
177views more  BMCBI 2008»
15 years 27 days 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
106
Voted
NN
2008
Springer
152views Neural Networks» more  NN 2008»
15 years 21 days 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...
81
Voted
IWSSD
2000
IEEE
15 years 5 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 ...