GMU CS 688

• Universities
• GMU
• CS
• 688

Course Description

Raw: Explores statistical pattern recognition and neural networks. Pattern recognition topics include Bay

Stemmed: explor statist pattern recognit neural network pattern recognit topic includ bayesian classif decis

Inferred Topics

• 30   (0.496464) learn, decis, network, model, algorithm, topic, method, probabilist, neural, approach

  (0.947) RPI CSCI 4100 Machine and Computational Learning

  (0.925) RPI CSCI 6100 Machine and Computational Learning

  (0.803) SC CSCE 582 Bayesian Networks and Decision Graphs

  (0.757) KSU CIS 732 Machine Learning and Pattern Recognition

  (0.639) UTK COSC 425 Introduction to Machine Learning

  (0.634) LSU CSC 7333 Machine Learning

  (0.522) Stanford CS 373 Statistical and Machine Learning Methods for Genomics (BIO 268, BIOMEDIN 245, GENE 245, STATS 345)

  (0.496) GMU CS 688 Pattern Recognition

  (0.491) ACM EC 0 Artificial Intelligence Programming

  (0.443) Utah CS 5350 Machine Learning

  (0.412) Utah CS 6760 Modeling and Analysis of Biological Networks

  (0.409) PDX CS 480 Randomized Algorithms and Probabilistic Analysis

  (0.409) PDX CS 580 Randomized Algorithms and Probabilistic Analysis

  (0.353) UTK COSC 420 Biologically-Inspired Computation

  (0.345) Stanford CS 323 Automated Reasoning: Theory and Applications

  (0.320) ACM EC 0 Introduction to Artificial Intelligence

  (0.311) GMU AIT 631 Advanced Decision Making in IT Ventures

  (0.310) GMU CS 775 Advanced Pattern Recognition

  (0.287) GMU AIT 500 Quantitative Foundations for Information Systems Analysis

  (0.273) Utah CS 5740 Computer-Aided Design of Digital Circuits

  (0.272) LSU CSC 1240 Statistics and Graphics with MATLAB

  (0.247) GMU CS 787 Decision Guidance Systems

  (0.243) LSU CSC 4512 Optimization: Modeling Approaches, Algorithms and Applications

  (0.239) Stanford CS 109 Statistical Computing with R Laboratory

  (0.217) GMU CS 774 Computational Vision

  (0.207) AU CSC 589 Topics in Computer Science

  (0.175) KSU CIS 530 Introduction to Artificial Intelligence

  (0.165) PDX CS 573 Computer Communications

  (0.158) PDX CS 549 Computational Geometry

  (0.156) LSU CSC 1200 Ethics in Computing

• 4   (0.330734) estim, linear, featur, reduct, nonlinear, filter, dimension, nonparametr, parametr, select

  (0.569) Utah CS 7320 System Identification for Robotics

  (0.351) GMU CS 775 Advanced Pattern Recognition

  (0.331) GMU CS 688 Pattern Recognition

  (0.156) Utah CS 5350 Machine Learning

Prerequisite Course Topics

Prerequisite Tree