Pseudo-Naive Evaluation Donald A. Smith Mark Utting Department of Computer Science The University of Waikato Private Bag 3105, Hamilton, New Zealand

Source URL: www.cs.waikato.ac.nz

• Mathematical logic
• Programming idioms
• Logic programming
• Prolog
• Deductive database
• Clause
• Stratification
• Horn clause
• Recursion
• Computer programming
• Software engineering
• Computing

An Empirical Comparison of Supervised Learning Algorithms Rich Caruana Alexandru Niculescu-Mizil Department of Computer Science, Cornell University, Ithaca, NYUSA

Source URL: www.niculescu-mizil.org

• Ensemble learning
• Bayesian statistics
• Neural networks
• Supervised learning
• Support vector machine
• Naive Bayes classifier
• Boosting
• Random forest
• Calibration
• Statistics
• Machine learning
• Statistical classification

The International Journal of Robotics Research http://ijr.sagepub.com FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance Mark Cummins and Paul Newman

Source URL: www.robots.ox.ac.uk

• Stochastic processes
• Cluster analysis
• Mixture model
• Hidden Markov model
• Naive Bayes classifier
• Variational Bayesian methods
• Random walk
• Causality
• Kullback–Leibler divergence
• Statistics
• Bayesian statistics
• Markov models

Hybrid Generative-Discriminative Visual Categorization. Alex D. Holub1 , Max Welling2 , Pietro Perona1 1 2

Source URL: www.ics.uci.edu

• Fisher kernel
• Generative model
• Discriminative model
• Supervised learning
• Constellation model
• Support vector machine
• Kernel methods
• Generative
• Naive Bayes classifier
• Statistics
• Machine learning
• Statistical classification

Verifying the fully “Laplacianised” posterior Naïve Bayesian approach and more

Source URL: www.jcheminf.com

• Bayesian statistics
• Naive Bayes classifier
• Learning classifier system
• Classifier
• Feature selection
• Statistics
• Statistical classification
• Machine learning

CENTER FOR EUROPÆISK POLITIK INSTITUT FOR STATSKU NDSKAB KØBENHAVNS UNIVERSITET Naive Danmark i EU Af Peter Nedergaard, professor i statskundskab, KU

Source URL: cep.polsci.ku.dk

Publish or Perish? Better trying to publish first: Advice from the editorial surgical room for the savvy and naive in you. Ulf-Dietrich Reips & Gonzalo Bacigalupe Universidad Deusto, July 18, 2012

Source URL: iscience.deusto.es

CME 323: Distributed Algorithms and Optimization Instructor: Reza Zadeh () HW#3 1. Consider solving connected components via the Pregel framework. In general the naive algorithm works well because the d

Source URL: stanford.edu

PRESENCELongitudinal effects on presence: Suspension of disbelief or distrust of naive belief? Edwin Blake CVC Laboratory Dept. of Computer Science

Source URL: astro.temple.edu

CME 323: Distributed Algorithms and Optimization Instructor: Reza Zadeh () HW#3 1. Consider solving connected components via the Pregel framework. In general the naive algorithm works well because the d

Source URL: stanford.edu