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NIPS
2001
15 years 7 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
AUSAI
2005
Springer
16 years 1 days ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
16 years 6 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
16 years 20 days ago
Predictive Model of Insolvency Risk for Australian Corporations
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
Rohan A. Baxter, Mark Gawler, Russell Ang
HPCA
1998
IEEE
15 years 10 months ago
Enhancing Memory Use in Simple Coma: Multiplexed Simple Coma
Scalable shared-memory multiprocessors that are designed as Cache-Only Memory Architectures Coma allow automatic replication and migration of data in the main memory. This enhance...
Sujoy Basu, Josep Torrellas