Journal of 9/11 Studies Volume 33, October, 2012 A Discussion of "Analysis of Structural Response of WTC 7 to Fire and Sequential Failures Leading to Collapse"

Source URL: journalof911studies.com

SOME ASPECTS OF THE SEQUENTIAL DESIGN OF EXPERIMENTS HERBERT ROBBINS 1. Introduction. Until recently, statistical theory has been restricted to the design and analysis of sampling experiments in which the size and compos

Source URL: www.ams.org

• Statistics
• Statistical theory
• Sampling
• Statistical inference
• Design of experiments
• Hypothesis testing
• Sample size determination
• Expected value
• Probability distribution
• Variance
• Bias of an estimator
• Statistical hypothesis testing

Message-passing sequential detection of multiple change points in networks Long Nguyen, Arash Amini Ram Rajagopal

Source URL: dept.stat.lsa.umich.edu

• Statistics
• Statistical theory
• Design of experiments
• Hypothesis testing
• Sequential analysis
• Independent and identically distributed random variables

Optimism in Sequential Decision-Making under Uncertainty Peter Bartlett Department of Statistics and Division of Computer Science UC Berkeley

Source URL: www.stat.berkeley.edu

• Mathematical analysis
• Dynamic programming
• Markov processes
• Stochastic control
• Statistical inference
• Analysis
• Operations research
• Markov decision process
• Regret
• Distribution
• S0
• Mathematical optimization

CSStat 260, Fall 2014: Learning in Sequential Decision Problems Lectures: Evans 334. Tuesday/Thursday 2:00-3:30. Instructor: Peter Bartlett http://www.stat.berkeley.edu/∼bartlett

Source URL: www.stat.berkeley.edu

• Mathematical optimization
• Operations research
• Mathematical analysis
• Numerical analysis
• Convex optimization
• Stochastic optimization
• Multi-armed bandit
• Game theory
• Linear programming
• AMPL

Stat 260/CSLearning in Sequential Decision Problems. Peter Bartlett 1. Recall: MDPs. 2. Value iteration. 3. Policy iteration.

Source URL: www.stat.berkeley.edu

• Markov processes
• Mathematics
• Probability theory
• Mathematical analysis
• Dynamic programming
• Markov decision process
• Stochastic control
• Markov chain
• Mathematical optimization
• Distribution

Stat 260/CSLearning in Sequential Decision Problems. Peter Bartlett 1. Markov decision processes and partially observable Markov decision processes. 2. Value functions, Q functions.

Source URL: www.stat.berkeley.edu

• Markov processes
• Dynamic programming
• Probability theory
• Stochastic control
• Mathematical analysis
• Probability
• Markov models
• Markov decision process
• Mathematical optimization
• Markov chain
• Bellman equation
• X0

Modeling sequential data using higher-order relational features and predictive training Vincent Michalski Goethe-University Frankfurt, Frankfurt, Germany

Source URL: arxiv.org

• Applied mathematics
• Artificial neural networks
• Machine learning
• Statistics
• Probability and statistics
• Computational neuroscience
• Regression analysis
• Computational statistics
• Deep learning
• Autoregressive model
• Recurrent neural network
• Overfitting

Sequential Improvement of Grasp based on Sensitivity Analysis Christoforos I. Mavrogiannis, Charalampos P. Bechlioulis and Kostas J. Kyriakopoulos Abstract— In this work, we present a novel concept in the area of optim

Source URL: www.cmavrogiannis.com

Making Sequential Consistency Practical in Titanium Amir Kamil Jimmy Su Katherine Yelick∗ Computer Science Division, University of California, Berkeley {kamil,jimmysu,yelick}@cs.berkeley.edu

Source URL: titanium.cs.berkeley.edu

• Computing
• Software engineering
• Compiler construction
• Computer programming
• Parallel computing
• Computer memory
• Concurrency
• Concurrent computing
• Optimizing compiler
• Alias analysis
• Memory barrier
• Synchronization