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ICML
2001
IEEE
16 years 7 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
KDD
2005
ACM
142views Data Mining» more  KDD 2005»
16 years 6 months ago
Towards exploratory test instance specific algorithms for high dimensional classification
In an interactive classification application, a user may find it more valuable to develop a diagnostic decision support method which can reveal significant classification behavior...
Charu C. Aggarwal
FOCS
2009
IEEE
16 years 1 months ago
Local Graph Partitions for Approximation and Testing
—We introduce a new tool for approximation and testing algorithms called partitioning oracles. We develop methods for constructing them for any class of bounded-degree graphs wit...
Avinatan Hassidim, Jonathan A. Kelner, Huy N. Nguy...
ICAC
2009
IEEE
16 years 1 months ago
Run-time correlation engine for system monitoring and testing
We present an approach and implementation for run-time correlation of large volumes of log data and symptom matching of know issues in the context of large enterprise applications...
Viliam Holub, Trevor Parsons, Patrick O'Sullivan, ...
TRIDENTCOM
2008
IEEE
16 years 23 days ago
A case study in testing a network security algorithm
Several difficulties arise when testing network security algorithms. First, using network data captured at a router does not guarantee that any instances of the security event of...
Carrie Gates