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NIPS
2004
15 years 4 months ago
Density Level Detection is Classification
We show that anomaly detection can be interpreted as a binary classification problem. Using this interpretation we propose a support vector machine (SVM) for anomaly detection. We...
Ingo Steinwart, Don R. Hush, Clint Scovel
129
Voted
NIPS
2001
15 years 4 months ago
Reinforcement Learning with Long Short-Term Memory
This paper presents reinforcement learning with a Long ShortTerm Memory recurrent neural network: RL-LSTM. Model-free RL-LSTM using Advantage learning and directed exploration can...
Bram Bakker
123
Voted
NIPS
2001
15 years 4 months ago
Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning
We address two open theoretical questions in Policy Gradient Reinforcement Learning. The first concerns the efficacy of using function approximation to represent the state action ...
Gregory Z. Grudic, Lyle H. Ungar
PRIS
2004
15 years 4 months ago
A Pitfall in Determining the Optimal Feature Subset Size
Abstract. Feature selection researchers often encounter a peaking phenomenon: a feature subset can be found that is smaller but still enables building a more accurate classifier th...
Juha Reunanen
124
Voted
IJCAI
2003
15 years 4 months ago
A Theory of Average-Case Compilability in Knowledge Representation
Compilability is a fundamental property of knowledge representation formalisms which captures how succinctly information can be expressed. Although many results concerning compila...
Hubie Chen