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ICML
2009
IEEE
16 years 7 months ago
Regularization and feature selection in least-squares temporal difference learning
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
J. Zico Kolter, Andrew Y. Ng
EDBT
2004
ACM
142views Database» more  EDBT 2004»
16 years 6 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...
SAS
1994
Springer
159views Formal Methods» more  SAS 1994»
15 years 10 months ago
Iterative Fixed Point Computation for Type-Based Strictness Analysis
Amtoft has formulated an "on-line" constraint normalization method for solving a strictness inference problem inspired by Wright. From the syntactic form of the normaliz...
Fritz Henglein
CIKM
2008
Springer
15 years 8 months ago
Learning latent semantic relations from clickthrough data for query suggestion
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
OPODIS
2004
15 years 8 months ago
Firewall Queries
Firewalls are crucial elements in network security, and have been widely deployed in most businesses and institutions for securing private networks. The function of a firewall is t...
Alex X. Liu, Mohamed G. Gouda, Huibo H. Ma, Anne H...