... Computational Linguistics Randomized Algorithmsand NLP: Using Locality Sensitive Hash Functionfor High Speed Noun ClusteringDeepak Ravichandran, Patrick Pantel, and Eduard HovyInformation ... twoavenues. Handling terabytes of data requires moreefficient algorithms than are currently used in NLP. We propose a web scalable solution to clusteringnouns, which employs randomized algorithms. ... 72.8%ing by Pantel and Lin (2002) so that the results arecomparable. We randomly choose 100 nouns and calculate the top N elements closest to each noun inthe similarity lists using the randomized algorithmdescribed...
... considered jointly. Wepropose and simulate a number of algorithms for integrating FEC into playout buffer adaptationschemes, and show that they are superior to non-integrated algorithms. Receiving feedback ... analyze, and simulate a class of algorithms termed reconsideration,which support congestion controlled feedback in highly dynamic groups, and then show how thememory requirements of our algorithms ... The system that manages and controls the behavior of the transport algo-rithms and protocols. It provides feedback to senders (and third parties) on the loss, delay, and jitter being provided...
... writing, debugging, and using a program that is nontrivially recursive,for example. The concept of recursion is subtle and powerful, and is helped a lot by hands-on practice.Any of the algorithms of ... endpoint of f is, say, v and the other one is some vertexx other than v or w. But then the colors of v and x must be different because vw and x were joined inG/{e} by an edge, and therefore must have ... vertices are, and then we say which pairs of vertices are its edges. Theset of vertices of a graph G is denoted by V (G), and its set of edges is E(G).If v and w are vertices of a graph G,andif(v,...
... surely true if G has Vvertices and no edges at all. Hence, suppose it is true for all graphs of V vertices and fewer than E edges, and let G have V vertices and E edges. Then (2.3.4) implies ... a function of B).Now let’s talk about the difference between easy and hard computational problems and between fast and slow algorithms. A warranty that would not guarantee ‘fast’ performance ... that makes the difference between the easy and the hard classes ofproblems, or between the fast and the slow algorithms. It is highly desirable to work with algorithms such that we can give a performance...
... information (machines, tools, and all the cost indices) is described earlier and the requiredOPTs and their machine, tool, and TAD alternatives are shown in Table 9.2 and the PRs between theOPTs ... times.9.5 Comparison between the GA and the SA AlgorithmBoth the GA and the SA algorithm described earlier are stochastic search algorithms. They are devisedto handle the same problem model, i.e., ... current machine. M-c is randomly selected from M-c and M-e and assignedto OPT3 to replace M-a. It is then found that M-a is also the current machine used by OPT1, OPT4,OPT5, and OPT2. Among these...
... writing, debugging, and using a program that is nontrivially recursive,for example. The concept of recursion is subtle and powerful, and is helped a lot by hands-on practice.Any of the algorithms of ... that makes the difference between the easy and the hard classes ofproblems, or between the fast and the slow algorithms. It is highly desirable to work with algorithms such that we can give a performance ... a function of B).Now let’s talk about the difference between easy and hard computational problems and between fast and slow algorithms. A warranty that would not guarantee ‘fast’ performance...
... SecurityCryptographic Principles, Algorithms and ProtocolsMan Young RheeSchool of Electrical and Computer EngineeringSeoul National University, Republic of Korea16 INTERNET SECURITY and connectionless datagram ... University in 1952 and his M.S.E.E and Ph.D. degree from the University of Colorado in 1956 and 1958,respectively. Since 1997, Dr. Rhee is an Invited Professor of Electrical and ComputerEngineering, ... Information and Optimization Sciences, and a member of the Advisory Board for the Journal of Commu-nications and Networks. He was a frequent invited visitor for lecturing on Cryptography and Network...
... between 1 and n the triple (s,s, ws) E T. • The tree is binary branching and consistent. Formally, for every (s,t, X) in T, s ¢ t, there is exactly one r, Y, and Z such that s < r < t and ... 01024, and a National Science Foundation Gradu- ate Student Fellowship. I would also like to thank Stanley Chen, Andrew Kehler, Lillian Lee, and Stu- art Shieber for helpful discussions, and ... and then substituting this equality, we get Ta =argm~x E P(S =~ s-t (,,t,X)eT (7) At this point, it is useful to introduce the Inside and Outside probabilities, due to Baker (1979), and...
... ecient exact algorithms. In this paper, we combined thesetwo techniques in dierent ways and obtained improved exact algorithms for #MWIS and MMM. Other problems for which we obtain faster algorithms ... MukhopadhyaySession 6A: Algorithmsand Data StructuresEfficient Algorithms for the Sum Selection Problem and K MaximumSums Problem 460Tien-Ching Lin, Der-Tsai LeeDeterministic Random Walks on the ... Demaine and MohammadTaghi Hajiaghayi. Equivalence of local treewidth and linear local treewidth and its algorithmic applications. In Proceedings of the15th ACM-SIAM Symposium on Discrete Algorithms...
... mother’s patience, love, and understanding seemto be endless.My brother Fernando always says yes, what else do I want? He also awarded mewith my nephews Fernandinho and Daniel.My family deserves ... eigenvalues i and j, it follows thatRqiD iqi and RqjD jqj(2.62)Using the fact that R is Hermitian and that i and jare real, thenqHiR D iqHi and by multiplying ... Newton and steepest-descent algorithms are briefly introduced. Since the use of these algorithms would require a com-plete knowledge of the stochastic environment, the adaptive filtering algorithms introduced...
... has been widely used inpsychometrics and related areas for a long time. As such CANDECOMP and PARAFAC are identical and thus in this context the theory of CANDE-COMP does not add much to the ... models andalgorithms now available. Hence, two otherimportant aspects are the development of new models aimed at handlingproblems typical of today's scientific work, and better algorithms ... dependent on data, model, and algorithm. While some ALS- algorithms like NIPALS (Martens & Næs 1989) for fitting a PCA model, ormost algorithms for fitting the Tucker3 and N-PLS model (Kroonenberg1983),...