Learning Algorithms from Data by Wojciech Zaremba a dissertation submitted in partial fulfillment of the requirements for the degree of

Source URL: cs.nyu.edu

• Artificial neural networks
• Computational neuroscience
• Artificial intelligence
• Applied mathematics
• Cybernetics
• Computational statistics
• Mathematical psychology
• Machine learning
• Convolutional neural network
• Ray Solomonoff
• Recurrent neural network
• Speech recognition

On the Interplay of Link-Flooding Attacks and Traffic Engineering Dimitrios Gkounis1 , Vasileios Kotronis2 , Christos Liaskos3 , Xenofontas Dimitropoulos3∗ 1 NEC 2 ETH Zurich, Switzerland

Source URL: inspire.edu.gr

• Computing
• Routing algorithms
• Cyberwarfare
• Concurrent computing
• Denial-of-service attack
• Denial-of-service attacks
• Internet Relay Chat
• Computer network
• Multipath routing
• Botnet
• Routing
• Crowds

Comparison of Clustering Algorithms in the Context of Software Evolution Jingwei Wu, Ahmed E. Hassan, Richard C. Holt School of Computer Science University of Waterloo Waterloo ON, Canada j25wu,aeehassa,holt
@uwaterloo.c

Source URL: plg.uwaterloo.ca

• Statistics
• Bioinformatics
• Cluster analysis
• Data mining
• Geostatistics
• Hierarchical clustering
• Sequence clustering
• Computational statistics
• Information
• Consensus clustering
• K-means++

  Chubby  and  BigTable   Tom  Anderson   (based  on  slides  from  Dan  Ports)  

Source URL: courses.cs.washington.edu

• Computing
• Data management
• Software
• Fault-tolerant computer systems
• Structured storage
• Distributed algorithms
• Paxos
• Bigtable
• Apache Cassandra
• Consensus
• Cache
• Memcached

SpaceTwist: Managing the Trade-Offs Among Location Privacy, Query Performance, and Query Accuracy in Mobile Services Man Lung Yiu, Christian S. Jensen, Xuegang Huang, Hua Lu Department of Computer Science Aalborg Univers

Source URL: people.cs.aau.dk

• Search algorithms
• Discrete geometry
• K-nearest neighbors algorithm
• Statistical classification
• Voronoi diagram
• Mathematics
• Statistics
• Computer science

Algorithms and Data Structures (WS15/16) Example Solutions for UnitQuestion 2 In this problem, we will not distinguish the key xi and the node which store xi . Let Xij be an indicator random variable where Xij = 1

Source URL: www-tcs.cs.uni-sb.de

faturu-encv-May7-2015-web

Source URL: users.ics.forth.gr

• Concurrent computing
• Computing
• Computer science
• Distributed computing
• Symposium on Parallelism in Algorithms and Architectures
• Symposium on Principles of Distributed Computing
• ACM SIGACT
• Concurrency control
• Transaction processing
• International Symposium on Distributed Computing
• Theoretical computer science
• Symposium on Principles and Practice of Parallel Programming

Introduction to Algorithms: 6.006 Massachusetts Institute of Technology Professors Erik Demaine, Piotr Indyk, and Manolis Kellis February 1, 2011 Problem Set 1

Source URL: courses.csail.mit.edu

• Analysis of algorithms
• Computational complexity theory
• Time complexity
• Computer science
• Algorithm
• Mathematics
• Academia
• Oblivious data structure

Law Libraries Benefits and Risks of Legal Research Technologies by Roger V. Skalbeck Appreciating Advanced Algorithms

Source URL: www.vsb.org

• Law
• Legal research
• Westlaw
• Academia
• Legal technology
• Competence

Random Shortest Paths: Non-Euclidean Instances for Metric Optimization Problems∗ Karl Bringmann†1 , Christian Engels2 , Bodo Manthey3 , and B. V. Raghavendra Rao4 1

Source URL: people.mpi-inf.mpg.de

• Graph theory
• Mathematics
• Computational complexity theory
• NP-hard problems
• NP-complete problems
• Edsger W. Dijkstra
• Combinatorial optimization
• Approximation algorithms
• Travelling salesman problem
• Shortest path problem
• Matching
• Randomized algorithm