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JMLR
2012
13 years 9 months ago
Contextual Bandit Learning with Predictable Rewards
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
Alekh Agarwal, Miroslav Dudík, Satyen Kale,...
ISI
2008
Springer
15 years 7 months ago
Real time intrusion prediction, detection and prevention programs
An Intrusion Detection Program (IDP) analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. In this talk, we p...
A. Abraham
BIS
2009
154views Business» more  BIS 2009»
15 years 8 months ago
Using Process Mining to Generate Accurate and Interactive Business Process Maps
Abstract. The quality of today's digital maps is very high. This allows for new functionality as illustrated by modern car navigation systems (e.g., TomTom, Garmin, etc.), Goo...
Wil M. P. van der Aalst
BMCBI
2007
165views more  BMCBI 2007»
15 years 7 months ago
Ab initio identification of human microRNAs based on structure motifs
Background: MicroRNAs (miRNAs) are short, non-coding RNA molecules that are directly involved in post-transcriptional regulation of gene expression. The mature miRNA sequence bind...
Markus Brameier, Carsten Wiuf
ASPLOS
2009
ACM
16 years 7 months ago
Dynamic prediction of collection yield for managed runtimes
The growth in complexity of modern systems makes it increasingly difficult to extract high-performance. The software stacks for such systems typically consist of multiple layers a...
Michal Wegiel, Chandra Krintz