CSCU elections voting is available over the next 3 days during the following times: 10:00am - 3:30pm Monday, Oct. 1 9:30am - 3:30pm Tuesday, Oct. 2 9:30am.

Slides:

Advertisements

Similar presentations

IEOR 4004: Introduction to Operations Research Deterministic Models January 22, 2014.

Advertisements

In a previous lecture, this dictionary resulted after the first phase 1 pivot: X0 = X1 - 1 X2 + 1 X3 X4 = X1 + 3 X2 + 1 X

1 If you still are having problems getting your program to work, send me for help. You will need to use it later in the term to start Programming.

Biologically Inspired AI (mostly GAs). Some Examples of Biologically Inspired Computation Neural networks Evolutionary computation (e.g., genetic algorithms)

21-May-15 Genetic Algorithms. 2 Evolution Here’s a very oversimplified description of how evolution works in biology Organisms (animals or plants) produce.

Swim Lessons Fall 2008 Please call for private lessons or lessons for children with special needs. We will do our best to accommodate your requests and.

Today: RUSS GREINER & ROB HOLTE An overview of Machine Learning and Reinforcement Learning.

Computational Worldview and the Sciences Leslie Valiant Harvard University.

BA271 Week 9 Lecture Using forms in Access. Status Report … Review where we are … –Midterm – Graded! –Final websites – Graded! –Access #1 – Graded! –Access.

Finance 5040 Spring 2011 Welcome Dr. James Conover.

Lecture 34 CSE 331 Nov 19, HW 9 due today Q1 in one pile and Q 2+3 in another I will not take any HW after 1:15pm.

BA271 Week 7 Lecture Warning: Building Queries is the hardest part of this class all term. Dave Sullivan.

BA271 Week 8 Lecture Database Theory and Queries Dave Sullivan.

PSY Evolutionary Psychology Instructor: Danny Krupp.

1 On The Learning Power of Evolution Vitaly Feldman.

Saturday May 02 PST 4 PM. Saturday May 02 PST 10:00 PM.

Backtracking CSC 172 SPRING 2004 LECTURE 11. Reminders  Project 3 (mastermind) is due before Spring break  Friday, March 5 th 5PM  Computer Science.

MEASURE Evaluation MEASURE Evaluation’s Monitoring and Evaluation Workshop for Tuberculosis Programs.

Welcome to Animal Behaviour BIOL Contact info Dr. Matt Reudink Office: S350 * to set up appointment or just drop

Class Schedule Template SundayMondayTuesdayWednedayThursdayFridaySaturday 6 AM 7 AM 8 AM 9 AM 10 AM 11 AM 12 AM 1 PM 2 PM 3 PM 4 PM 5 PM 6 PM Title Classroom.

2014 SEC 2 STREAMING EXERCISE 20 TH OCT SEC 2 STREAMING EXERCISE 1.General Briefing for all Sec 2 classes. 2.Online Option Procedure for Sec.

DARWIN. DESCENT WITH MODIFICATION All species of organisms living on Earth today are descended from ancestral species All species of organisms living.

Section 3: Beyond Darwinian Theory

BA271 Week 9 Lecture Three topics: o Upcoming schedule o Query Quiz review o Normalizing a database.

Please initial the appropriate attendance roster near the door. If you are on the Wait List you will find your name at the bottom. If you are not on the.

Natural Selection pg 81. Charles Darwin – the father of the theory of evolution. Came up with the theory while on a voyage to the Galapagos islands.

Aim: How does classical genetics affect the theory of evolution?

Wednesday, 25 Feb 2000 Reminder: Home Work #5 due 28 Feb (Monday) Goal: finish chapter 3 by end of 6th week Office hours: Wed: 11m to 1pm AND 3pm to 5pm.

Citizens and Government. Why are politics a necessary part in our democracy? People have differing ideas about what is important and what should be done.

Math 110: Pre-Calculus 1 Instructor: Mike Panitz

Genetic Algorithms K.Ganesh Reasearch Scholar, Ph.D., Industrial Management Division, Humanities and Social Sciences Department, Indian Institute of Technology.

Easter Revision Sessions Monday 14 April English Tuesday 15 April GCSE French 9.00 am – pm – Room 22 GCSE Photography am – 3.00 pm Wednesday.

 Gets to work outside  Gets to see amazing animals around the world  Gets to help save the world  Does not get to make a lot of money  Gets to use.

Problem of the Day: Factor (ab) k as xyz in all ways such that y ≠ ε.

Welcome !. Applying for College Start planning now! We’re here to help!

1 Bob and Sue solved this by hand: Maximize x x 2 subject to 1 x x 2 ≤ x x 2 ≤ 4 x 1, x 2 ≥ 0 and their last dictionary was: X1.

Garside: SNC2D. The following schedule is for Period 2 Class:

Random Samples 12/5/2013. Readings Chapter 6 Foundations of Statistical Inference (Pollock) (pp )

CSE 421 Algorithms Richard Anderson Winter 2009 Lecture 1.

AP Biology Discussion Notes Tuesday 04/14/2015. Goals for the day Be able to explain & apply the Hardy- Weinberg Equilibrium Be able to define and apply.

1 1.Write down the permutations that are the automorphisms of this graph. 2.Write the cycle structure notation for each of the automorphisms. 3.How many.

1. Genetic Algorithms: An Overview  Objectives - Studying basic principle of GA - Understanding applications in prisoner’s dilemma & sorting network.

Introduction to Information Security J. H. Wang Sep. 18, 2012.

1 Psychology 320: Psychology of Gender and Sex Differences Lecture 15.

12. Natural Selection – Day 3  Essential Question: How does genetic diversity allow or prevent a species ability to adapt to its environment?  Learning.

Evolution by Natural Selection. : What does Kanye West have to do with evolution? Essential question: What was in Darwin’s book, On the Origin of Species?

Metro Early College High School Jterm 2016 Schedule.

Metro Early College High School Jterm 2016 Schedule.

TODAY IS MONDAY THE 16 th OF NOVEMBER 2015 ON MONDAY WE ARE WORKING WITH THE LAPTOP.

Welcome to General Ecology Bio 4416 Instructor: Susan Schwinning Office Hours: Mon, Wed 1:00 – 2:00 pm, or by appointment 312 Supple.

Week 16 BIO Finals. No First Five Learning Target: Everything!! Today’s Activities: ● Review on your own...Tomorrow Questions! Notecard: ● Front side.

General information Theoretic basis of evolutionary computing. The general scheme of evolutionary algorithms General information Theoretic basis of evolutionary.

1.Draw a parse tree for the following derivation: S  C A C  C A b b  b b A b b  b b B b b  b b a A a a b b  b b a b a a b b 2. Show on your parse.

Announcements Homework #2 will be posted after class – Due Monday, Oct 1, 1:30pm Upcoming office hours: – Tomorrow: Sheng, 12-1:30pm, 207 Moore – Monday:

Daily Math Review September 2-6, Monday Solve the following problems with strategies and/or algorithms 5, = 9, = 3, =

Please CLOSE YOUR LAPTOPS, and turn off and put away your cell phones, and get out your note-taking materials.

Unit 2 – Biology (Unit D in text) Today we start our new unit on Biology – Ecosystems (approx weeks) – 1.1 and 1.2 Notes Abiotic and Biotic Factors.

Mrs. Miller’s Classes.  Monday – 6 th Hour Math Tutorials  Tuesday – 6 th Grade Math Tutorials  Wednesday – 7 th Grade Math Tutorials  Thursday –

By Jayson Park. Goals Navigate to prototype Create a Reservation Navigate to Wednesday 11/9 Make a reservation at 4:00PM to 6:00 PM for room L1108 View.

By Jayson Park. Goals Navigate to prototype Navigate to Wednesday 11/9 Create Reservation at 4:00PM to 6:00 PM Remove reservation View Current Appointments.

– Ecology and Evolution Spring 2004 M,W,F 11 – 11:50 CEH 218.

Need Help With Trig graphs? Then this workshop is for YOU! Where: MS109 When: Wednesday March 16 th and Thursday March 17 th When: 11:30 – 12:30 All Math.

Computational and Evolutionary Aspects of Language Written by: Martin Nowak, Natalia Komarova, and Partha Niyogi Presentation by: Amerika Adams, Isaac.

Genetic Algorithms 11-Oct-17.

Machine learning-Evolution Computational Model

Darwin’s Theory of Evolution by Natural Selection

Σ 2i = 2 k i=0 CSC 225: Proof of the Day

The Theory of Evolution

Standard Deviation Lecture 18 Sec Wed, Oct 4, 2006.

Presentation transcript:

CSCU elections voting is available over the next 3 days during the following times: 10:00am - 3:30pm Monday, Oct. 1 9:30am - 3:30pm Tuesday, Oct. 2 9:30am - 3:30pm Wednesday, Oct. 3 Voting will be held in the CSCU office, in ECS 331. Candidate bios can be viewed just outside the office if you haven't had a chance to see their platforms. If you come vote today, you get a FREE COOKIE!

Alan Turing Celebration Lecture Biological Evolution as a Form of Learning Leslie Valiant, CC and Applied Math., Harvard Wed. Oct 10, 3:30pm, ECS 124 Living organisms function according to protein circuits. Darwin's theory of evolution suggests that these circuits have evolved through variation guided by natural selection. However, the question of which circuits can so evolve in realistic population sizes and within realistic numbers of generations has remained essentially unaddressed.

We suggest that computational learning theory offers the framework for investigating this question, of how circuits can come into being adaptively from experience, without a designer. We formulate evolution as a form of learning from examples. The targets of the learning process are the functions of highest fitness. The examples are the experiences. The learning process is constrained so that the feedback from the experiences is Darwinian. We formulate a notion of evolvability that distinguishes function classes that are evolvable with polynomially bounded resources from those that are not. The dilemma is that if the function class, say for the expression levels of proteins in terms of each other, is too restrictive, then it will not support biology, while if it is too expressive then no evolution algorithm will exist to navigate it.

Alan Turing Celebration Lecture Biological Evolution as a Form of Learning Leslie Valiant, CC and Applied Math., Harvard Wed. Oct 10, 3:30pm, ECS 124 CSC 445/545: This is the same time as our class and it is the class immediately before the midterm. Do we want to schedule a one hour tutorial at some other time and cancel the class?