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Week 4 – Random Graphs Dr. Anthony Bonato Ryerson University AM8002 Fall 2014
Documents Week 4 – Random Graphs Dr. Anthony Bonato Ryerson University AM8002 Fall 2014

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Recent advances in multi-document summarization Dragomir Radev University of Michigan, Ann Arbor radev@umich.edu Presentation at UC Berkeley SIMS, November
Documents Recent advances in multi-document summarization Dragomir Radev University of Michigan, Ann Arbor [email protected] Presentation at UC Berkeley SIMS, November

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Hidden Markov Model. CG-Islands Given 4 nucleotides: probability of occurrence is ~ 1/4. Thus, probability of occurrence of a dinucleotide is ~ 1/16
Documents Hidden Markov Model. CG-Islands Given 4 nucleotides: probability of occurrence is ~ 1/4. Thus, probability of occurrence of a dinucleotide is ~ 1/16

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Computational Movement Analysis Lecture 4: Movement patterns Joachim Gudmundsson
Documents Computational Movement Analysis Lecture 4: Movement patterns Joachim Gudmundsson

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Hidden Markov Models Chapter 11. CG “islands” The dinucleotide “CG” is rare –C in a “CG” often gets “methylated” and the resulting C then mutates to T
Documents Hidden Markov Models Chapter 11. CG “islands” The dinucleotide “CG” is rare –C in a “CG” often gets “methylated” and the resulting C then mutates to T

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1 Discrete Hilbert Transform 7 th April 2007 Digital Signal Processing I Islamic University of Gaza
Documents 1 Discrete Hilbert Transform 7 th April 2007 Digital Signal Processing I Islamic University of Gaza

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Graphs – Basic Concepts William T. Trotter and Mitchel T. Keller Math 3012 Applied Combinatorics Spring 2009
Documents Graphs – Basic Concepts William T. Trotter and Mitchel T. Keller Math 3012 Applied Combinatorics Spring 2009

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Proof, Computation, & Randomness Kurt Gödel John von Neumann and Theoretical Computer Science Avi Wigderson School of Mathematics Institute for Advanced
Documents Proof, Computation, & Randomness Kurt Gödel John von Neumann and Theoretical Computer Science Avi Wigderson School of Mathematics Institute for Advanced

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EE270 Asynchronous Sequential Network - SYNTHESISDr. Tri Caohuu © 2006 Andy Davis Asynchronous Circuit Design Introduction Analysis Synthesis Races
Documents EE270 Asynchronous Sequential Network - SYNTHESISDr. Tri Caohuu © 2006 Andy Davis Asynchronous Circuit Design Introduction Analysis Synthesis Races

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CS262 Lecture 9, Win07, Batzoglou History of WGA 1982: -virus, 48,502 bp 1995: h-influenzae, 1 Mbp 2000: fly, 100 Mbp 2001 – present human (3Gbp), mouse
Documents CS262 Lecture 9, Win07, Batzoglou History of WGA 1982: -virus, 48,502 bp 1995: h-influenzae, 1 Mbp 2000: fly, 100 Mbp 2001 – present human (3Gbp), mouse

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Sequence Similarity. The Viterbi algorithm for alignment Compute the following matrices (DP) M(i, j):most likely alignment of x 1 …x i with y 1 …y j
Documents Sequence Similarity. The Viterbi algorithm for alignment Compute the following matrices (DP) M(i, j):most likely alignment of x 1 …x i with y 1 …y j

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Computer Systems Modelling Sam Haines Clare College, University of Cambridge 1 st March 2015
Documents Computer Systems Modelling Sam Haines Clare College, University of Cambridge 1 st March 2015

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