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» Improving Cause Detection Systems with Active Learning
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ICML
2009
IEEE
15 years 10 months ago
Learning when to stop thinking and do something!
An anytime algorithm is capable of returning a response to the given task at essentially any time; typically the quality of the response improves as the time increases. Here, we c...
Barnabás Póczos, Csaba Szepesv&aacut...
AAAI
2010
14 years 10 months ago
The Boosting Effect of Exploratory Behaviors
Active object exploration is one of the hallmarks of human and animal intelligence. Research in psychology has shown that the use of multiple exploratory behaviors is crucial for ...
Jivko Sinapov, Alexander Stoytchev
SIGCOMM
2010
ACM
14 years 10 months ago
Detecting the performance impact of upgrades in large operational networks
Networks continue to change to support new applications, improve reliability and performance and reduce the operational cost. The changes are made to the network in the form of up...
Ajay Anil Mahimkar, Han Hee Song, Zihui Ge, Aman S...
ANSS
2006
IEEE
15 years 3 months ago
USim: A User Behavior Simulation Framework for Training and Testing IDSes in GUI Based Systems
Anomaly detection systems largely depend on user profile data to be able to detect deviation from normal activity. Most of this profile data is based on commands executed by use...
Ashish Garg, Vidyaraman Sankaranarayanan, Shambhu ...
ICALT
2008
IEEE
15 years 4 months ago
The Role of Emotions in the Design of Personalized Educational Systems
Research on modelling affect and on interfaces adaptation based on affective factors has matured considerably over the past several years, so that designers of educational product...
Zacharias Lekkas, Nikos Tsianos, Panagiotis German...