PPT-Randomized Algorithms William Cohen

Outline Randomized methods today SGD with the hash trick recap Bloom filters Later countmin sketches l ocality sensitive hashing THE Hash Trick A Review Hash Trick Insights Save memory dont store hash keys. at FLORIDA ATLANTIC UNIV on January 14, 2011http://aerj.aera.netDownloaded from EDUCATIONA OUTCOME O TUTORINresearc design the th mos selecte researc result (i.e. thos frojourna articles woul provid CS648. . Lecture 3. Two fundamental problems. Balls into bins. Randomized Quick Sort. Random Variable and Expected . value. 1. Balls into BINS. Calculating probability of some interesting events. 2. Extract this information. From the text (instead. of depending on creators. To provide automated annotations?). Information. Extraction. What is “Information Extraction”. Filling slots in a database from sub-segments of text.. CS648. . Lecture 6. Reviewing the last 3 lectures. Application of Fingerprinting Techniques. 1-dimensional Pattern matching. . Preparation for the next lecture.. . 1. Randomized Algorithms . discussed till now. CS648. . Lecture 17. Miscellaneous applications of . Backward analysis. 1. Minimum spanning tree. 2. Minimum spanning tree. . 3. b. a. c. d. h. x. y. u. v. 18. 7. 1. 19. 22. 10. 3. 12. 3. 15. 11. 5. CS648. . Lecture 4. Linearity of Expectation with applications. (Most important tool for analyzing randomized algorithms). 1. RECAP from the last lecture. 2. Random variable. Definition. :. . A random variable defined over a probability space (. Log on to the internet.. Go to . edmodo. .. Take the ‘Historical Terms’ quiz.. Extra – If you finish then . listen to the podcast introduction on William’s ecclesiastical policies.. Key Exam Question Focus – Section 6. Extract this information. From the . web pages . (. instead. . of . depending on . creators to . provide automated annotations?). Information. Extraction. 3. Fielded IE Systems: Citeseer, Google Scholar; Libra. University . of Alaska Fairbanks. Juneau AK USA. Terry.Quinn@alaska.edu.  . and.  . Richard B. . Deriso. Inter-American Tropical Tuna Commission. La Jolla CA USA. rderiso@iattc.org. Combining the Cohen-Fishman growth increment model with a Box-Cox transformation: flexibility and uncertainty. The1997NobelPrizeinPhysicswassharedbyStevenChu,ClaudeN.Cohen-Tannoudji,andWilliamD.Phillips.Thislec-tureisthetextofProfessorCohen-Tannoudji'saddressontheoccasionoftheaward.LaboratoireKastlerBrosselisa J.J. Cohen’s 7 Monster Theses. Cohen is a professor at George Washington University. Wrote a book about monster culture & monster literature. We will be using the introduction of this book to help ground some of our conversations about monsters in more academic language. Ronald Cohen. Geophysical Laboratory. Carnegie Institution of Washington. cohen@gl.ciw.edu. 2012 Summer School on Computational Materials Science. . Quantum Monte Carlo: . Theory and Fundamentals. July . . The Battle of Hastings. in 1066. The Battle of Hastings is one of the most famous ever fought.. Why did it happen?. Who took part?. Why is it important?. Let’s have a look at some people involved.. Problem - a well defined task.. Sort a list of numbers.. Find a particular item in a list.. Find a winning chess move.. Algorithms. A series of precise steps, known to stop eventually, that solve a problem..