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» The many forms of hypercomputation
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IOR
2006
126views more  IOR 2006»
15 years 3 months ago
A New Linear Programming Approach to Radiation Therapy Treatment Planning Problems
We consider the problem of radiation therapy treatment planning for cancer patients. During radiation therapy, beams of radiation pass through a patient, killing both cancerous an...
H. Edwin Romeijn, Ravindra K. Ahuja, James F. Demp...
ISCI
2006
145views more  ISCI 2006»
15 years 3 months ago
Processing count queries over event streams at multiple time granularities
Management and analysis of streaming data has become crucial with its applications in web, sensor data, network traffic data, and stock market. Data streams consist of mostly nume...
Aykut Ünal, Yücel Saygin, Özgü...
ISI
2006
Springer
15 years 3 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
JMLR
2008
124views more  JMLR 2008»
15 years 3 months ago
Learning Control Knowledge for Forward Search Planning
A number of today's state-of-the-art planners are based on forward state-space search. The impressive performance can be attributed to progress in computing domain independen...
Sung Wook Yoon, Alan Fern, Robert Givan
JAIR
2006
157views more  JAIR 2006»
15 years 3 months ago
Decision-Theoretic Planning with non-Markovian Rewards
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Sylvie Thiébaux, Charles Gretton, John K. S...