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ICRA
2000
IEEE
105views Robotics» more  ICRA 2000»
15 years 9 months ago
Modeling and Throughput Prediction for Flexible Parts Feeders
In this paper we illustrate a methodology for modeling and analyzing flexible feeders using generalized semi-Markov process (GSMP) models. Working through the simple case consisti...
Michael S. Branicky, Greg C. Causey, Roger D. Quin...
ICMLA
2007
15 years 6 months ago
A Clustering-Based Approach to Predict Outcome in Cancer Patients
Abstract—The TNM (Tumor, Lymph Node, Metastasis) is a widely used staging system for predicting the outcome of cancer patients. However, the TNM is not accurate in prediction, pa...
Kai Xing, Donald Henson, Dechang Chen, Li Sheng
CORR
2007
Springer
169views Education» more  CORR 2007»
15 years 4 months ago
Algorithmic Complexity Bounds on Future Prediction Errors
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true d...
Alexey V. Chernov, Marcus Hutter, Jürgen Schm...
CP
2007
Springer
15 years 11 months ago
Hierarchical Hardness Models for SAT
Abstract. Empirical hardness models are a recent approach for studying NP-hard problems. They predict the runtime of an instance using efficiently computable features. Previous res...
Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
SERA
2007
Springer
15 years 11 months ago
Comparative Analysis of Neural Network Techniques Vs Statistical Methods in Capacity Planning
Capacity planning is a technique which can be used to predict the computing resource needs of an organization for the future after studying current usage patterns. This is of spec...
Nalini Vasudevan, Gowri C. Parthasarathy