File
... providing c is independent of A Informally, if we could prove that R(c) is true for an arbitrary c (in a sense, c is a “variable”), then we could prove the for all statement. e.g. given any number c, 2c is an even number => for all x, 2x is an even number. Remark: Universal generalization is often d ...
... providing c is independent of A Informally, if we could prove that R(c) is true for an arbitrary c (in a sense, c is a “variable”), then we could prove the for all statement. e.g. given any number c, 2c is an even number => for all x, 2x is an even number. Remark: Universal generalization is often d ...
Efficient kinetic data structures for MaxCut
... grids. Our KDS is based on the idea of maintaining such a distribution under motion. The main difficulty of applying that approach lies in the interplay between a lower bound on the cost of the solution and the number of events, which requires some new ideas. Our KDS is not only the first efficient ...
... grids. Our KDS is based on the idea of maintaining such a distribution under motion. The main difficulty of applying that approach lies in the interplay between a lower bound on the cost of the solution and the number of events, which requires some new ideas. Our KDS is not only the first efficient ...
rca icml
... A key observation is that in many unsupervised learning tasks, such groups of similar points may be extracted from the data with minimal effort and possibly automatically, without the need for labels. This occurs when the data originates from a natural sequence that can be modeled as a Markovian pro ...
... A key observation is that in many unsupervised learning tasks, such groups of similar points may be extracted from the data with minimal effort and possibly automatically, without the need for labels. This occurs when the data originates from a natural sequence that can be modeled as a Markovian pro ...
Iterative Solution of Linear Systems
... (plus some dot products, etc.) • If matrix is nn and has m nonzero entries, each iteration is O(max(m,n)) • Conjugate gradients may need n iterations for ...
... (plus some dot products, etc.) • If matrix is nn and has m nonzero entries, each iteration is O(max(m,n)) • Conjugate gradients may need n iterations for ...
pdf
... f = λ(x.F(f,x)) is another expression of it, and the CTT definition is: fi (λ(f λ( F(f ))) fix(λ(f. λ(x. F(f,x))) which reduces in one step to: λ(x.F(fix(λ(f. λ(x. F(f,x)))),x)) by substituting the fix term for f in λ(x.F(f,x)) . ...
... f = λ(x.F(f,x)) is another expression of it, and the CTT definition is: fi (λ(f λ( F(f ))) fix(λ(f. λ(x. F(f,x))) which reduces in one step to: λ(x.F(fix(λ(f. λ(x. F(f,x)))),x)) by substituting the fix term for f in λ(x.F(f,x)) . ...
A Decision-making Model to Choose Business Intelligence
... rapidly and considered to be one of the most significant uses of information technology with special position reserved. The application of BI systems provides organizations with a sense of superiority in the competitive environment. Despite many advantages, the companies applying such systems may al ...
... rapidly and considered to be one of the most significant uses of information technology with special position reserved. The application of BI systems provides organizations with a sense of superiority in the competitive environment. Despite many advantages, the companies applying such systems may al ...
Optimal Stopping and Free-Boundary Problems Series
... Wiener process . This method led to the with finite general principle of horizon is also dynamic programming derived. The (the Bellman’s principle). same problems The method of are studied, essential supremum replacing the solves the problem in the Wiener processes case of infinite horizon N by Pois ...
... Wiener process . This method led to the with finite general principle of horizon is also dynamic programming derived. The (the Bellman’s principle). same problems The method of are studied, essential supremum replacing the solves the problem in the Wiener processes case of infinite horizon N by Pois ...
document
... scheme (or model) that acts on the entries of the vector sequentially. The number of intermediate quantities (‘states’) that are needed in the computations is a measure of the complexity of the model. If the matrix is large but its complexity is low, then not only multiplication, but also other oper ...
... scheme (or model) that acts on the entries of the vector sequentially. The number of intermediate quantities (‘states’) that are needed in the computations is a measure of the complexity of the model. If the matrix is large but its complexity is low, then not only multiplication, but also other oper ...
January 2010 Preliminary Exams Computer Operating Systems (Questions 1-4)
... synchronization primitives in OS design. That is, explain why there is a need to formally design such primitives rather than solve synchronization problems in an ad hoc manner. State the mutual exclusion problem. Using synchronization primitive examples you defined provide a solution to the problem. ...
... synchronization primitives in OS design. That is, explain why there is a need to formally design such primitives rather than solve synchronization problems in an ad hoc manner. State the mutual exclusion problem. Using synchronization primitive examples you defined provide a solution to the problem. ...
Special issue on question answering for Linked Data
... ahead before achieving highly accurate question answering on RDF data. Amongst the most important challenges lie the problem of multilinguality, which remains particularly hard to tackle for languages with only few linguistic resources. Achieving user-friendly runtimes on complex queries is also sti ...
... ahead before achieving highly accurate question answering on RDF data. Amongst the most important challenges lie the problem of multilinguality, which remains particularly hard to tackle for languages with only few linguistic resources. Achieving user-friendly runtimes on complex queries is also sti ...
Lecture 6 6.1 A RAM Model
... denotes sequences of 0 or more natural numbers. 2N denotes the powerset of N∗ , also written P(N∗ ). ...
... denotes sequences of 0 or more natural numbers. 2N denotes the powerset of N∗ , also written P(N∗ ). ...
Theoretical computer science
Theoretical computer science is a division or subset of general computer science and mathematics that focuses on more abstract or mathematical aspects of computing and includes the theory of computation.It is not easy to circumscribe the theory areas precisely and the ACM's Special Interest Group on Algorithms and Computation Theory (SIGACT) describes its mission as the promotion of theoretical computer science and notes:Template:""To this list, the ACM's journal Transactions on Computation Theory adds coding theory, computational learning theory and theoretical computer science aspects of areas such as databases, information retrieval, economic models and networks. Despite this broad scope, the ""theory people"" in computer science self-identify as different from the ""applied people."" Some characterize themselves as doing the ""(more fundamental) 'science(s)' underlying the field of computing."" Other ""theory-applied people"" suggest that it is impossible to separate theory and application. This means that the so-called ""theory people"" regularly use experimental science(s) done in less-theoretical areas such as software system research. It also means that there is more cooperation than mutually exclusive competition between theory and application.