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A Simple ¾-Approximation Algorithm for MAX SAT
A Simple ¾-Approximation Algorithm for MAX SAT
by stefany-barnette
David P. Williamson. Joint work with Matthias Pol...
0/1 Knapsack
0/1 Knapsack
by mitsue-stanley
1. Dynamic Programming: . 0/1 Knapsack. Presentat...
Online Algorithms – II
Online Algorithms – II
by celsa-spraggs
Amrinder Arora. Permalink: http://standardwisdom....
Tunable
Tunable
by alida-meadow
QoS. -Aware Network. Survivability. Jose . Yallou...
The Weighted Majority Algorithm
The Weighted Majority Algorithm
by startse
Or how to be 1-competitive with any set of strateg...
Approximation algorithms
Approximation algorithms
by marina-yarberry
Algorithms. and Networks 2015/2016. Hans L. . Bo...
Approximation Through Scaling
Approximation Through Scaling
by cheryl-pisano
Algorithms. and Networks 2014/2015. Hans L. . Bo...
Boosting of classifiers
Boosting of classifiers
by tatiana-dople
Ata . Kaban. Motivation & beginnings. Suppose...
1 A Light-weight Solution for Real-Time Dengue
1 A Light-weight Solution for Real-Time Dengue
by alexa-scheidler
Detection using Mobile Phones. Jerrid . Matthews....
A simple
A simple
by yoshiko-marsland
L. inear Time Algorithm for Computing a . -Spanne...
Bin Packing Problem:
Bin Packing Problem:
by tatiana-dople
A . parallel . implementation. By Christos Giavro...
1 Spanning Trees
1 Spanning Trees
by myesha-ticknor
Lecture . 22. CS2110 – Spring . 2017. 1. Prelim...
Using Alloy to model an algorithm that finds the shortest p
Using Alloy to model an algorithm that finds the shortest p
by min-jolicoeur
Roger L. Costello. December 29, 2016. Acknowledge...
1 Spanning Trees, greedy algorithms
1 Spanning Trees, greedy algorithms
by tatyana-admore
Lecture . 22. CS2110 – . Fall 2017. 1. We demo ...
Section 1.8: Bin Packing and Scheduling
Section 1.8: Bin Packing and Scheduling
by pamella-moone
Math for Liberal Studies. A “Bin Packing” Pro...
Testing the performance of the two-fold FCS algorithm for multiple imputation of longitudinal clini
Testing the performance of the two-fold FCS algorithm for multiple imputation of longitudinal clini
by conchita-marotz
Catherine Welch. 1. , Irene Petersen. 1. , Jonath...
Gopi Sanghani  97277-47317
Gopi Sanghani  97277-47317
by tawny-fly
. . gopi.sanghani@darshan.ac.in. Analysis an...
Analysis of Algorithms
Analysis of Algorithms
by cheryl-pisano
Uri Zwick. May 2014. Last modified: January . 13,...
Weighted Clustering
Weighted Clustering
by tatyana-admore
Margareta Ackerman. Work with . Shai. Ben-David,...
A Confidence Model for Syntactically-Motivated Entailment P
A Confidence Model for Syntactically-Motivated Entailment P
by alida-meadow
Asher Stern & . Ido. Dagan. ISCOL. June 2011...
Dynamic programming vs Greedy algo – con’t
Dynamic programming vs Greedy algo – con’t
by mitsue-stanley
Input:. Output:. Objective: . a number W and a se...
Weighted Clustering
Weighted Clustering
by sherrill-nordquist
Margareta Ackerman. Work with . Shai. Ben-David,...
MA/CSSE 473
MA/CSSE 473
by myesha-ticknor
Day . 36 . Student Questions. More on Minimal . S...
Algorithms for NP-hard Optimization Problems
Algorithms for NP-hard Optimization Problems
by test
and Cluster Analysis. Dissertation Defense. Nan L...
CSC317 1 Shortest path
CSC317 1 Shortest path
by danika-pritchard
algorithms. So far we only looked at . unweighted...
A Confidence Model for Syntactically-Motivated Entailment Proofs
A Confidence Model for Syntactically-Motivated Entailment Proofs
by shoesxbox
Asher Stern & . Ido. Dagan. ISCOL. June 2011,...
Minimum Spanning Trees CSE 3318
Minimum Spanning Trees CSE 3318
by eve
– Algorithms and Data Structures. Alexandra Stef...
Weighted Clustering
Weighted Clustering
by tawny-fly
Margareta Ackerman. Work with . Shai. Ben-David,...
The Traveling Salesman Problem in Theory & Practice
The Traveling Salesman Problem in Theory & Practice
by danika-pritchard
Lecture . 14: . More on Maximum TSP Problems. 29...
Shortest Path Tree Computation
Shortest Path Tree Computation
by alida-meadow
in Dynamic Graphs. Viswanath. . Gunturi. (41922...
C&O 355
C&O 355
by tatyana-admore
Lecture 22. N. Harvey. TexPoint. fonts used in E...
Reconstructing approximate
Reconstructing approximate
by ellena-manuel
phylogenetic. . trees . from quartet samples. Ra...
Approximation Algorithms for Knapsack Problems
Approximation Algorithms for Knapsack Problems
by mitsue-stanley
1. Tsvi. . Kopelowitz. Knapsack. Given: a set S ...
Fast Fourier
Fast Fourier
by pamella-moone
Sparsity. Testing over the Boolean Hypercube. Gr...
On Centralized Sublinear Algorithms and Some Relations to D
On Centralized Sublinear Algorithms and Some Relations to D
by marina-yarberry
Dana Ron . Tel-Aviv University. ADGA, October 201...
Efficient Logistic Regression with Stochastic Gradient Desc
Efficient Logistic Regression with Stochastic Gradient Desc
by tatiana-dople
William Cohen. 1. SGD for Logistic Regression. 2....
HMMs and CRFs
HMMs and CRFs
by giovanna-bartolotta
1. Matt Gormley. Lecture . 23. November 16, 2016....
On Centralized Sublinear Algorithms and Some Relations to Distributed Computing
On Centralized Sublinear Algorithms and Some Relations to Distributed Computing
by pasty-toler
Dana Ron . Tel-Aviv University. ADGA, October 201...
Announcements: projects 805 students: Project proposals are due S
Announcements: projects 805 students: Project proposals are due S
by karlyn-bohler
un 10/1. . If you’d like to work with 605 stud...
Online Learning Game Theory
Online Learning Game Theory
by kittie-lecroy
Avrim Blum. Carnegie Mellon University. Your guid...