Running randomized algorithms using weak random
Malware Detection and Classification using Random Forest and Adaboost Algorithms
... Table 7: The details of the MI for each feature. Four features (4-7) have a high MI, compared with the other The features which have high mutual records cause extremely low errors rates.RF and AdaBoost labeled all flows ...
6
A Monad for Randomized Algorithms
... two random processes run sequen- tially instead of the concurrent behavior described ...a randomized algorithm like Miller-Rabin, which has a fixed desired output, this is ...These algorithms are ...
16
Randomized Gossip Algorithms
... fashion using the subgradient ...natural random walk, and then locally, without any central coordination, converge to the optimal weights cor- responding to the fastest averaging ...
23
Validation and optimization of analog circuits using randomized search algorithms
... inputs, random stimuli may not even reach the desired objectives within acceptable time and resource ...process. Random stimuli are intro- duced much later for simulating unexpected or corner case ...
204
Distributed computing and cryptography with general weak random sources
... general weak random sources. A general weak random source is some arbitrary probability distribution, and the only constraint is that it contains a certain amount of ...general weak ...
327
Stability of Randomized Learning Algorithms
... the random hypothesis stability is exactly the same as the hypothesis stability except that the resulting algorithm need not be symmetric anymore: if we sample the training data using a fixed r, permuting ...
25
Decentralized Algorithms using both Local and Random Probes for P2P Load Balancing
... include randomized-Chord [19, 46], randomized- hypercubes [19], Symphony [34], skip-graphs [5] and Skip- Net ...a random number in [0, 1), by paying a cost of R messages (a random ...
10
Algorithms for White-box Obfuscation Using Randomized Subcircuit Selection and Replacement
... the algorithms revealed that circuit size always increases when only one or two gates are selected for ...devise algorithms that select three or more gates can we expect to reduce circuit ...truly ...
100
On calibration error of randomized forecasting algorithms
... a randomized forecasting algorithm, where forecasts are obtained by random rounding the deterministic forecasts up to ∆ ...that, using a probabilistic algorithm, we can effectively generate with ...
15
Random combinatorial structures and randomized search heuristics
... These algorithms rely on the exact enu- meration of the respective structures by means of generating ...generate random graphs such that the resulting distribution satisfies three key ...these random ...
109
Randomized Algorithms
... As with searching, above, each sorting algorithm has its own decision tree. Some differences occur: Leaf nodes are the locations which indicate "the list is now sorted." Internal nodes simply represent comparisons on the ...
12
Randomized algorithms
... Why would we want to do this?? Deterministic algorithm: for a fixed input, it always gives the same output and has the same running-time. We want our algorithms to be correct and fast. So the deterministic ...
8
Proving Weak Approximability Without Algorithms
... Assuming the Unique Games Conjecture (UGC) of Khot [12], Austrin and Mossel [1] show that any predicate f for which f −1 (1) supports a balanced and pairwise independent distribution on {−1, 1} k , is approximation ...
15
NUMERICAL ANALYSIS OF WEAK RANDOM DRIFT IN A CLINE
... The correlation between the gene frequencies at two points decreases monotonically to zero as the separation is increased with the average position fixed; the de- crease is asymptoti[r] ...
7
Random approximation with weak contraction random operators and a random fixed point theorem for nonexpansive random self mappings
... nonexpansive random self-mapping has a random fixed point are ...a random iteration process with weak contraction random operator, we obtain a convergence theorem of the random ...
7
The Adaptation of Random Search Algorithms
... O F D ESCENT B Y T HE M ETHOD O F S TATISTICAL G RADIENT In assessing the effectiveness of random search algorithms essential importance belongs of such indicator as the loss on search. As mentioned above, ...
9
Randomized Quasi-Random Testing
... E-mail: [email protected] QRT makes use of quasi-random sequences to generate test cases. Due to the low discrepancy and low disper- sion offered by quasi-random sequences, QRT can achieve an even ...
14
Random Search as the Method of Nonlinear Programming. Algorithms of Random Search
... The considered algorithm of random search to some extent uses training to select the next step. The learning and the search in this case are of a statistical nature. This is reflected in the fact that out of ...
17
Random walk-based algorithms on networks
... Outline. In Section 3.1 we formally de ne our random graph models which will be based on generalized urn models. We then apply some useful facts from urn theory and prove some results about the degree sequence of ...
112
Randomized Algorithms: QuickSort and QuickSelect
... Let Q(A) be number of comparisons done on input array A: 1 For 1 ≤ i < j < n let R ij be the event that rank i element is compared with rank j element. 2 X ij is the indicator random variable for R ij . That ...
49