... [3] National Bureau of Standards, "Data Encryption Standard", Federal InformationProcessing Standard 46, 1977 [4] M Matsui, "The First Experimental Cryptanalysis of the Data Encryption Standard", ... of Linear Transformations for Substitution Permutation Encryption Networks", Workshop on Selected Areas of Cryptography (SAC ’96): Workshop Record, pp 40-48, 1997 [28] M Matsui, "On Correlation ... Daemen and V Rjimen, "AES Proposal: Rijndael", First Advanced Encryption Standard (AES) Conference, California, Aug 1998 (See also [6].) [8] H.M Heys and S.E Tavares, "Substitution-Permutation Networks...
... data with one of four trend models: a natural cubic spline of calendar time (models and 2); a first order random walk (models and 4); a second order random walk (models and 6); and a local linear ... dynamic generalised linearmodels (DGLMs, West et al (1985) and Fahrmeir and Tutz (2001)) to analyse air pollution and health data Dynamic generalised linearmodels extend generalised linearmodels ... Greater London Finally, section gives a concluding discussion and suggests areas for future work Bayesian Dynamic generalised linearmodels A Bayesian dynamic generalised linearmodel extends a generalised...
... Klein and C D Manning 2002 Conditional structure vs conditional estimation in NLP models In Proc of EMNLP J Lafferty, A McCallum, and F Pereira 2001 Conditional random fields: Probabilistic models ... This table contained no big surprises; we note only that most models were the best on their own criterion, and among unsupervised models, L ENGTH performed best on the CL criterion 360 RB∗ →ADV) ... between unsupervised and oracle model selection; this draws attention to a need for better unsupervised regularization andmodel selection techniques Without spelling features, all models perform worse...
... operations and time-frequency distributions, and their applications,” IEEE Transactions on Signal Processing, vol 49, no 8, pp 1638–1655, 2001 [27] S.-C Pei and J.-J Ding, “Two-dimensional affine generalized ... representation,” Journal of Mathematical Physics, vol 12, no 8, pp 1772–1783, 1971 [24] X Guanlei, W Xiaotong, and X Xiaogang, “Fractional quaternion fourier transform, convolution and correlation,” ... signals in the linear canonical transform domains,” IEEE Transactions on Signal Processing, vol 56, no 7, pp 2677–2683, 2008 [23] M Moshinsky and C Quesne, Linear canonical transformations and their...
... strictly convex norm, we may prove (under certain general conditions) certain generalizations of the results on separation of convex sets Theorem 2.6 Let K0 and K1 be disjoint bounded convex subsets ... ) / The general result on the separation of convex sets in an infinite-dimensional space X has the following known formulation Theorem 2.2 Let K0 and K1 be disjoint convex subsets of a linear space ... K N Soltanov, “Nonlinear mappings and the solvability of nonlinear equations,” Soviet Mathematics Doklady, vol 34, no 1, pp 242–246, 1987 [2] K N Soltanov, On equations with continuous mappings...
... A D Aleksandrov problem of conservative distances and the Mazur-Ulam theorem, Nonlinear Analysis Theory, Methods & Applications 47 (2001), no 4, 2597–2608 ˇ T M Rassias and P Semrl, On the Hyers-Ulam ... Banach spaces We define the notion of linear N-normed Banach space Definition 2.1 A linear N-normed and normed space X with N-norm ·, , · X and norm · is called a linear N-normed Banach space if ... section, assume that X is a linear N-normed Banach space with N-norm X and norm · , and that Y is a linear N-normed Banach space with N-norm Y and norm · ·, , · ·, , · Journal of Inequalities and...
... 454–464 [17] I.-G E Kordonis and Ch G Philos, On the behavior of the solutions for linear autonomous neutral delay difference equations, Journal of Difference Equations and Applications (1999), no 3, ... Section contains an introduction and some notations Section is devoted to the statement of the main results (and to some comments on them) The proofs of the main results will be given in Section ... Equations and Inequalities Theory, Methods, and Applications, Monographs and Textbooks in Pure and Applied Mathematics, vol 155, Marcel Dekker, New York, 1992 [2] N G de Bruijn, On some linear...
... Polynomial generalizations of Fn and/ or Ln have arisen as generating functions for statistics on binary words [1], lattice paths [4], andlinearand circular domino arrange(r) (r) ments [6] Generalizations ... based on the fact that Fn (q, t) and Ln (q, t) are, respectively, bivariate generating functions for a pair of statistics onlinearand circular r-mino arrangements Linear r-Mino Arrangements Consider ... [6] Generalizations of Fn and/ or Ln have arisen similarly in connection with statistics on Morse code sequences [2], [3] In the present paper, we study the polynomial generalizations ) n − (r −...
... on animal modelsand sire models some MODELS, NOTATION AND CRITERIA Consider a mixed model with one random factor (and the residual effect) where y is the performance vector of dimension n, b the ... exhibit this kind of disconnectedness for a random factor As shown to the orthogonality between random and fixed factors and connected contrasts or designs, but not disconnected ones below, IC can ... Statistical Sciences (Kotz S, Johnson NL, eds), John Wiley and Sons, New York, vol 4, 421-425 Lalo6 D (1993) Precision and information in linearmodels of genetic evaluation Genet Sel Evol 25, 557-576...
... variance and is, therefore, a generalisation of the conventional h2 to account for social interactions Cross validation We compared 2STEP to LAM using cross validation [35] With cross validation, ... DR: Regressionmodelsand life tables J Roy Stat Soc B 1972, 34:187-203 33 Ducrocq V, Delaunay I, Boichard D, Mattalia S: A general approach for international genetic evaluations robust to inconsistencies ... The Cox model can deal with non-linearity, censoring, and non-normal residuals The model included a fixed effect for each combination of laying house, row, and level, and for average survival days...
... Introduction 5.2 Definition and Basic Properties 5.2.1 Basic Results on Orthogonal Vectors 5.3 Gram-Schmidt Orthogonalization Process 5.4 Orthogonal Projections and Applications ... solution and is called inconsistent if it admits no solution We are now ready to prove conditions under which the linear system Ax = b is consistent or inconsistent Theorem 2.1.22 Consider the linear ... motivation and observations Based on these observations, we will arrive at a better understanding, related to the existence and uniqueness results for the linear system Ax = b Consider a linear...
... mean monthly returns on IBM and the market index are 0.9617% and 1.3992% per month and the sample standard deviations are 5.9024% and 6.8353% per month, respectively Hence the market index on average ... the monthly return on IBM and rMt denote the monthly return on the CRSP value weighted index Time plots of these data are given in & gure below 13 Monthly Returns on IBM Monthly Returns on Market ... single index modeland Portfolio Theory To be completed 2.2 Estimation of the single index model by Least Squares Regression Consider a sample of size T of observations on Rit and RMt We use the...
... develop a predictive model for pulmonary TB aiming at contributing to a more rational decision on the use of isolation rooms (IR) Methods We performed a cross sectional study among patients admitted ... Rezende VMC, Conde MB, Chaisson RE, Kritski AL, Ruffino-Netto A, Werneck GL: Predicting smear negative pulmonary tuberculosis with classification trees andlogistic regression: a cross-sectional study ... especially those with confirmed or suspicion of HIV/AIDS diagnosis Nonetheless, currently there are no predictive models for this purpose that can be generalized for all settings CART models are an alternative...
... presented in Section Some related work is discussed in Section Section gives some concluding remarks Log -Linear Models In this section, we briefly describe log -linear models used in NLP tasks and L1 regularization ... organized as follows Section provides a general description of log -linear models used in NLP Section describes our stochastic gradient descent method for L1-regularized loglinear models Experimental ... Galen Andrew and Jianfeng Gao 2007 Scalable training of L1-regularized log -linear models In Proceedings of ICML, pages 33–40 484 John Lafferty, Andrew McCallum, and Fernando Pereira 2001 Conditional...
... a non-recursive equation based on the overall learner (di = exp(LossOfOverallLearner)) This has deep implications on the dynamics of boosting, e.g the distribution may stay constant in the non-recursive ... score gap between MERT re-ranking and oracle hypotheses We believe that the modeling problem is more serious for log -linear models of around 10 features and focus on it in this work To truly achieve ... benefits of re-ranking in MT, one must go beyond the log -linear model The reranker should not be a mere dot product operation, but a more dynamic and complex decision maker that exploits the structure...
... derivations, including non-standard derivations Non-standard derivations are an integral part of the CCG formalism, and it is an interesting question whether efficient estimation and parsing algorithms ... and Curran (2003) to calculate the feature expectations The L - BFGS algorithm, run to convergence on the cluster, takes 479 iterations and hours for the normal-form model, and 1,550 iterations ... the model Log -linear models have been applied to the parsing problem across a range of grammar formalisms, e.g Riezler et al (2002) and Toutanova et al (2002) One motivation for using a log-linear...
... We consider evaluation metrics for natural language tasks from two broadly applicable classes: linearand nonlinear A linear metric is a sum (or other linear combination) of the loss or gain on ... direct preference on the entropy H, and choose γ and θ accordingly: 17.5 γ=∞ γ = 0.1 γ=1 γ = 10 −10 −5 10 Translation model Figure 2: Loss and expected loss as one translation model s weight varies: ... some convergence criterion is met (Rao and Rose, 2001) Deterministic Annealing To balance the advantages of direct loss minimization, continuous risk minimization, and convex optimization, deterministic...
... bilingual dictionaries 3.1 IBM Translation Models Brown et al (1993) proposed a series of statistical models of the translation process IBM translation models try to model the translation probabilJ ... IBM models as well as HMM models, when one needs the model to take new information into account, one must create an extended model which can base its parameters on the previous model In log -linear ... parameters after further ModelandModel training For log -linear models, POS information and an additional dictionary are used, which is not the case for GIZA++/IBM models However, treated as...
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... Tradition and the Limits of International Relations, p Nicholas Rengger, International Relations, Political Theory, and the Problem of Order: Beyond International Relations Theory? (London: Routledge, ... Realism (London: Frank Cass, 1996); Stefano Guzzini, Realism in International Relations and International Political Economy: The Continuing Story of a Death Foretold (London: Routledge, 1998); Jonathan ... THOUGHT AND INTERNATIONAL RELATIONS This page intentionally left blank Political Thought and International Relations Variationson a Realist Theme Edited by DUNCAN BELL Great Clarendon Street,...