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ICML
1994
IEEE
15 years 10 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
VLDB
1991
ACM
123views Database» more  VLDB 1991»
15 years 10 months ago
Rule Management in Object Oriented Databases: A Uniform Approach
Rules have been proposed for providing active behaviour in DBMS. Previous attempts to add rules to Object Oriented DBs have often resulted in a dichotomy between rules and other k...
Oscar Díaz, Norman W. Paton, Peter M. D. Gr...
KDD
2010
ACM
275views Data Mining» more  KDD 2010»
15 years 10 months ago
Combined regression and ranking
Many real-world data mining tasks require the achievement of two distinct goals when applied to unseen data: first, to induce an accurate preference ranking, and second to give g...
D. Sculley
PAKDD
2010
ACM
167views Data Mining» more  PAKDD 2010»
15 years 10 months ago
Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand
We present a general framework for the task of extracting specific information “on demand” from a large corpus such as the Web under resource-constraints. Given a database wit...
Pallika Kanani, Andrew McCallum, Shaohan Hu
EDBT
2010
ACM
132views Database» more  EDBT 2010»
15 years 10 months ago
Turbo-charging hidden database samplers with overflowing queries and skew reduction
Recently, there has been growing interest in random sampling from online hidden databases. These databases reside behind form-like web interfaces which allow users to execute sear...
Arjun Dasgupta, Nan Zhang 0004, Gautam Das
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