[PDF] Top 20 The Multivariate Hidden Number Problem
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The Multivariate Hidden Number Problem
... the hidden number ...the multivariate hidden number prob- ...the multivariate hidden number problem for that func- ...the hidden number ... See full document
21
Optimizing Number of Hidden Nodes for Artificial Neural Network using Competitive Learning Approach
... major problem in ANN is to select the number of hidden ...of number of hidden nodes leads towards the problem of Overfitting or ...optimized number of hidden layer. ... See full document
7
Computing the Most Probable String with a Probabilistic Finite State Machine
... The problem of finding the consensus / most probable string for a distribution generated by a probabilistic finite automaton or a hidden Markov model arises in a number of natural language processing ... See full document
8
Solving a Class of Modular Polynomial Equations and its Relation to Modular Inversion Hidden Number Problem and Inversive Congruential Generator
... polynomial number of samples and get the same asymptotic bound on attacking ICG proposed in PKC 2012, which is the best result so ...exponential number of samples is required in the work of PKC ... See full document
36
The Principled Design of Large-Scale Recursive Neural Network Architectures–DAG-RNNs and the Protein Structure Prediction Problem
... and hidden node variables; (2) parameterization of the relationship between each variable and its parent variables by feedforward neural networks or, for that matter, any other class of parameterized functions; ... See full document
28
The infinite HMM for unsupervised PoS tagging
... We extend previous work on fully unsu- pervised part-of-speech tagging. Using a non-parametric version of the HMM, called the infinite HMM (iHMM), we ad- dress the problem of choosing the number of ... See full document
10
Cognitive Radio Ad Hoc Networks: Some New Results on Multi Channel Hidden Terminal Problem
... tween nodes 2 and 3 to check the influence of large in- terference range. Two CBR sessions based on UDP are involved with directions from node 1 to node 2 and node 4 to node 3 correspondingly. Since the CBR is constant ... See full document
7
Optimum Allocation in Multi Objective Geometric Programming in Multivariate Double Sampling Design
... a problem with highly nonlinear constraints can be stated equivalently as one with only linear ...primal problem is in posynomial form, then a global minimizing solution to that problem can be ... See full document
7
Intrusion detection for IoT based on improved genetic algorithm and deep belief network
... the problem that how many neurons are kept in the hidden layer in order to obtain the best ...the number of hidden neurons in the neural networks to avoid overfitting in the function ...the ... See full document
11
Key Recovery for LWE in Polynomial Time
... the Hidden Number Problem and construct a polynomial time algorithm in the spirit of Boneh and Venkatesan [BV96] (see also [Shp05]) to solve ... See full document
16
Review for Optimisation of Neural Networks with Genetic Algorithms and Design of Experiments in Stock Market Prediction
... their problem on investors’ losses and ...rules, number of hidden neurons, memory gaps, learning rate, and momentum ...A number of neurons were determined by a ... See full document
7
Pion: A Problem Solving Environment for Parallel Multivariate Integration
... A globally accessible computing system should have a mechanism to optimize system utilization. Unlike an online shopping application where the transaction time range is well-known, the time for a computational job is in ... See full document
8
On the Security of the Multivariate Ring Learning with Errors Problem
... m-RLWE problem and present an efficient attack when the polynomial moduli are related in a certain ...a number of “smallness” preserving ring homomorphisms which reduce the problem to standard RLWE ... See full document
14
THE MULTIVARIATE QUADRATIC POWER PROBLEM OVER ZN IS NP-COMPLETE
... NP-complete problem the significant interest to apply these problems in cryptography remains so ...proposed hidden fields equations (HFE) cryptosystem following the idea of the Matsumoto and Imai ...of ... See full document
7
Obtaining bounds on the number of hidden Markov states in a tracking context
... this problem by introducing an infinite HMM, based on a hierarchical Dirichlet process (Ghosal and Van der Vaart, ...the hidden Markov states. Each hidden Markov state has so-called emission ... See full document
78
PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL
... nonlinear problem. This method is tested to determine the optimal number of artificial neurons in the Multilayer Perceptron and the most favorable weights ...optimization problem as a mixed-integer ... See full document
9
Modular Inversion Hidden Number Problem- A Lattice Approach
... Modular Inversion Hidden Number Problem (MIHNP) MIHNPs are closely related to HNP. Assuming hardness of some variants of this MIHNP problems they actually constructed very efficient algebraic PRNGs ... See full document
12
Hidden Number Problem Given Bound of Secret
... We extend the idea of [7], and study the situation of Oracle has constant number d queries, named as d-Times HNP. And we give the constraint relation between X and δ and its effect on success probability and ... See full document
5
PubMedCentral-PMC5097710.pdf
... health problem in many ...a hidden Markov latent variable model to study multivariate longitudinal data concerning cocaine use from a California Civil Addict ... See full document
25
Timing and Lattice Attacks on a Remote ECDSA OpenSSL Server: How Practical Are They Really?
... General Number Field Sieve) do not work for ...rithm Problem, which allows for faster calculations and smaller certificates for equivalent levels of ... See full document
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