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116
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ICML
2007
IEEE
16 years 1 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
SIGMOD
2005
ACM
254views Database» more  SIGMOD 2005»
16 years 20 days ago
Conceptual Partitioning: An Efficient Method for Continuous Nearest Neighbor Monitoring
Given a set of objects P and a query point q, a k nearest neighbor (k-NN) query retrieves the k objects in P that lie closest to q. Even though the problem is well-studied for sta...
Kyriakos Mouratidis, Marios Hadjieleftheriou, Dimi...
101
Voted
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
16 years 20 days ago
Online Maintenance of Very Large Random Samples
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
Chris Jermaine, Abhijit Pol, Subramanian Arumugam
100
Voted
SIGMOD
2003
ACM
104views Database» more  SIGMOD 2003»
16 years 20 days ago
TelegraphCQ: Continuous Dataflow Processing
Increasingly pervasive networks are leading towards a world where data is constantly in motion. In such a world, conventional techniques for query processing, which were developed...
Sirish Chandrasekaran, Owen Cooper, Amol Deshpande...
119
Voted
EDBT
2004
ACM
110views Database» more  EDBT 2004»
16 years 20 days ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...