Catching Up Faster in Bayesian Model Selection and Model Averaging (T61) Peter Gru¨ nwald Tim van Erven 1. Introduction & Summary

Source URL: www.timvanerven.nl

• Statistical inference
• Bayesian inference
• Markov models
• Markov chain
• Akaike information criterion
• Bayes factor
• Estimation theory
• Graphical model
• Expectation–maximization algorithm
• Statistics
• Bayesian statistics
• Model selection

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. XX, NO. XX, XXXX XXXX 1 Genetic Team Composition and Level of Selection in the Evolution of Cooperation

Source URL: www.swarmanoid.org

• Science
• Behavior
• Evolutionary algorithm
• Evolution
• Biology
• Foraging
• Selection
• Cybernetics
• Genetic algorithms
• Team

Automatic Ad Format Selection via Contextual Bandits Liang Tang School of Computer Science Florida International UnivS.W. 8th St.

Source URL: people.csail.mit.edu

• Reinforcement learning
• Greedy algorithm
• Multi-armed bandit
• Search advertising
• Prime-counting function
• Online advertising
• Statistics
• Mathematics
• Mathematical analysis

STEM  APPLICATIONS  of  NATURAL  SELECTION     Here  are  some  items  that  provide  great  STEM  "hooks":  using  genetics  and  cumulative  natural  selecti

Source URL: www.indiana.edu

• Mathematics
• Algorithm
• Mathematical logic
• Theoretical computer science
• Evolutionary algorithms
• Mathematical optimization
• Complexity
• Genetic algorithm
• Science
• Applied mathematics
• Operations research

The Shifting Sands Algorithm Andrew McGregor∗ Abstract We resolve the problem of small-space approximate selection in random-order streams. Specifically, we present an algorithm that reads the n elements of a set in ra

Source URL: www.cs.dartmouth.edu

Sorting and selection – handout 1 March 17, 2014 In class (March 10 and March 17) we discussed the deterministic sorting algorithm insertion sort that uses roughly n log n comparisons (which is nearly best possible) a

Source URL: www.wisdom.weizmann.ac.il

latent gold 4.0 manual final for pdf.qxp

Source URL: www.statisticalinnovations.com

• Estimation theory
• Akaike information criterion
• Psychometrics
• Expectation–maximization algorithm
• Bootstrapping
• Structural equation modeling
• Bayesian information criterion
• Statistics
• Statistical inference
• Model selection

MODEL SELECTION IN A SETTING WITH LATENT VARIABLES Ralf Eggeling1 , Teemu Roos2 , Petri Myllym¨aki2 , Ivo Grosse1 1 Institute for Computer Science, Martin Luther University Halle-Wittenberg, 06099 Halle, GERMANY, {eggel

Source URL: www.me.inf.kyushu-u.ac.jp

• Bayesian statistics
• Graphical models
• Estimation theory
• Expectation–maximization algorithm
• Mixture model
• Hidden Markov model
• Latent variable
• Markov chain
• Bayesian network
• Statistics
• Statistical models
• Markov models

Parallel Large Scale Feature Selection for Logistic Regression Sameer Singh, University of Massachusetts Amherst MA 01003

Source URL: www.cs.cmu.edu

• Feature selection
• Logistic regression
• Random forest
• Stepwise regression
• Mathematical optimization
• Support vector machine
• Algorithm
• Statistics
• Regression analysis
• Iteratively reweighted least squares

Algorithms, Spring 2014, CSE, OSU Greedy algorithms II Instructor: Anastasios Sidiropoulos Greedy algorithms

Source URL: web.cse.ohio-state.edu

• Greedy algorithm
• Matroid theory
• Mathematical optimization
• Algorithm
• Approximation algorithm
• Function
• Optimization problem
• Golden ratio base
• Activity selection problem
• Mathematics
• Applied mathematics
• Operations research