'Equal likelihood' presentation slideshows

Chapter 2: Fundamentals of Decision Theory

Chapter 2: Fundamentals of Decision Theory Good decisions : based on logic consider all available data and possible alternatives employ a quantitative approach Bad decisions : not based on logic do not consider all available data and possible alternatives

5.12k views • 57 slides

732 views • 56 slides

Succession Model

Succession Model. We talked about the facilitation, inhibition, and tolerance models, but all of these were verbal descriptions Today we are going to consider a mathematical model that describes those processes more precisely and generates predictions that can be tested in the real world.

744 views • 44 slides

A Bayesian algorithm for tracking multiple moving objects in outdoor surveillance video

A Bayesian algorithm for tracking multiple moving objects in outdoor surveillance video. Department of Electrical Engineering and Computer Science The University of Kansas, Lawrence, KS. Manjunath Narayana. Donna Haverkamp, Assistant Professor.

444 views • 25 slides

Corrected final exam time for BIO 304

Corrected final exam time for BIO 304. Friday, May 6 8:00 a.m. Please make sure you note the correct time on your schedules!. Email your 4-digit PIN to: ann.morris@uky.edu. Lecture 2: Single Gene Inheritance. We need mutants!. The seven phenotypic pairs studied by Mendel.

326 views • 21 slides

Changing Education Paradigms --Ken Robinson

Changing Education Paradigms --Ken Robinson. Education as Institution. Education as Institution. Roles of our Education system: Two primary roles Socialization S ocial reproduction. Education as Institution. Socialization Cultural transmission Rules of appropriate behavior

369 views • 16 slides

Project 2

Bayesian Networks. Project 2. Chris Townsend Shanon Clemmons. Asian Travel. Smoking. Tuberculosis. Lung Cancer. Bronchitis. CXRFindings. Dyspnea. Asian Travel (A). Smoking (S). Lung Cancer (L). Bronchitis (B). Tuberculosis (T). Tuberculosis (T). Lung Cancer (L). Bronchitis (B).

304 views • 16 slides

BST addElement

BST addElement. To addElement(), we essentially do a find( ). When we reach a null pointer, we create a new node there. void addElement(Object el, BinaryTreeNode t) { if (t == null) t = new BinaryTreeNode(el, null, null); else if (el < t.element) addElement(el, t.left);

206 views • 9 slides