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in particular , monotone routing policies show favorable resilience to non-anticipated capacity reductions in individual links .

in particular , it has been shown that monotone routing policies show favorable resilience to capacity reductions .

besides l 2 regularization , we also use dropout to reduce overfitting .

in addition to mtl , we regularize our model using dropout .

as for the prior model , the cft temperature corresponds to the redshifted value of the hawking temperature at the cosmological horizon .

as demonstrated before , the cft temperature is obtainable as the redshifted value of the hawking temperature at the cosmological horizon .

more recently , the practically relevant situation of groups of nearly-colliding nodes was studied in .

more recently , the practically relevant situation of clustered nodes was studied in .

when there is no absorption , there is a critical frequency .

the free-carrier absorption is a combined process involving electron-photon interaction .

the rapidly growing research on complex networks has presented a new approach to complex systems modeling and analysis .

the concept of networks of interacting agents has proven , in the last decade , to be a powerful tool in the analysis of complex systems .

approximation methods , such as variational inference and expectation propagation , can dramatically reduce the computation cost and enable application of the bayesian principle to large-scale problems .

in such cases , approximate inference methods such as variational inference and expectation propagation are popular to overcome intractability in bayesian modeling .

the predictions of this analytical model compare well with experimental results .

using this analytical model are shown to compare very well with experimental measurements .

to optimize the size of the largest connected component in the residual graph .

to optimize the total number of connected components in the residual graph .

both networks are trained using stochastic gradient descent with momentum , specifically the adam algorithm .

all networks are trained using the adam optimizer , which is based on a gradient descent .

on the automorphisms of free groups and free nilpotent groups .

on the bergman property for the automorphism groups of relatively free groups .

wehrung , congruence amalgamation of lattices , acta sci .

wehrung , proper congruence-preserving extensions of lattices , acta math .

convolutional neural networks , cnn , have recently achieved state of the art performance in a number of computer vision tasks .

recently , convolutional neural networks -based methods achieve great success in image classification tasks .

to the best of our knowledge , none of the work highlight the significance of secure device ordering in a smart home scenario .

to the best of our knowledge , none of the work highlight the significance of secure ordering inside smart homes much similar to non-digital homes .

l arge-scale antenna systems are expected to be one of the key enablers of enhanced spectral and energy efficiency in future wireless communication systems .

currently , massive mimo systems are widely recognized as a cornerstone of the forthcoming 5g wireless communications .

similarly , in , the nonlinear pde problems at hand are linearized by an newton technique , and , subsequently , discretized by a linear finite element method .

similarly , in , the nonlinear pde problems at hand are linearized by an newton technique , and subsequently discretized by a linear finite element method .

the weaker the meson-hyperon couplings the lower the maximum masses of hyperonic neutron stars are obtained .

it is found that the weaker the meson-hyperon couplings the lower maximum masses and the corresponding radii of hyperonic neutron stars are obtained .

mohanty a , engels as , herrington jd , heller w , ho mr , et al differential engagement of anterior cingulate cortex subdivisions for cognitive and emotional function .

blair ks , smith bw , mitchell dgv , morton j , vythilingam m , et al modulation of emotion by cognition and cognition by emotion .

the waves thus formed are called capillary waves .

in this case such solutions are called solitary waves .

this asymmetry is a pure direct-cp-violating observable .

asymmetry is the exchange splitting or the 2nd plasmon satellite of se 3d core level .

in addition , we note that the well-known laplacian support vector machine is a special case of gkmwhen using hinge loss and the smoothness function l 2 .

we note that the well-known laplacian support vector machine is the special case of gs3vmwhen using hinge loss and the smoothness function l 2 .

it was shown in that if a scalar linear solution over f q exists for a network , then the network is matroidal with respect to a matroid representable over f q .

it was shown in that if a network admits a scalar linear solution , then the network is matroidal with respect to represenatable matroid .

here , this is reflected by the low segmental noise reduction values observed for the dnn-based and the nmf-based approach if the gaussian stsa are employed .

here , this is reflected by the low segmental noise reduction values observed for the dnn-based and the nmf-based approach if standard clean speech estimators such as the stsa are employed .

an important problem in qcd , which is also interesting to experiment in the lhc and rhic .

one of the important fields in the qcd , which is also interesting to experiment in the lhc and rhic .

the most robust methods for detecting objects are currently deep neural networks for object-detection such as r-cnns .

anchor-based detectors such as faster r-cnn and single shot multibox detector have become the most popular frameworks for generic object detection .

all models are trained using the adam optimiser , and standard data-augmentation techniques .

all models were trained using the adam optimizer and implemented in tensorflow .

asterisks denote our measurements while diamonds mark the iras fluxes .

asterisks denote fr i sources , diamonds are fr ii sources , and the solid line shows the best fit to the fr i luminosity correlation .

on the analytic formalism of the theory of fuzzy sets .

a note on the relationship between fuzzy logic and four-valued logic .

we begin by examining the classical model that has been studied by bather , sulem , dai and yao , and many others .

we begin by examining the classical model that has been studied by sulem , dai and yao , and many others .

this property has been applied for numerous counterexamples in ergodic theory .

this property is widely used in ergodic theory to build counterexamples .

following the prevalence and advances of cmos active pixel sensing , deep convolutional neural networks have already achieved good performance in aps-based object classification problems .

in the last decade , convolutional neural networks have shown state of the art accuracy on a variety of visual recognition tasks such as image classification .

we perform spectral clustering on a similarity graph representation of 7 traces .

we perform spectral clustering on a synthetic dataset with a tree-structured latent variable graphical model .

now we proceed onto define smarandache bistructures .

we now proceed on to define smarandache groupoids .

in fact , it was shown that many learning algorithms , and in particular dnns , are highly vulnerable to such small perturbations and thus adversarial examples can be successfully found .

specifically , the deep neural network based learning systems are also shown to be vulnerable to these structured perturbations .

it is also noted that certain of the aforementioned approaches have been extended to switched .

it is also noted that certain of the aforementioned approaches have been extended to switched systems .

recently , deep neural networks achieve excellent performance on difficult problems such as speech recognition .

deep convolutional neural networks have been successfully used in various computer vision applications such as image classification .

at these energies , hyi is the same for cc or nc interactions , and the same for neutrinos or antineutrinos .

but at higher energies it is the pn data which have the greater ability to distinguish between the two models , and the simple power law model overpredicts the data at energies higher than about 5 kev .

we obtained the datasets as well as the trajectories computed with aslam and msckf from the authors of .

we obtained the datasets as well as the trajectories computed with okvis and msckf from the authors of .

the syntactic complexity σof a regular language l is defined as the size of its syntactic semigroup .

the syntactic complexity σof a regular language l is the size of its syntactic semigroup .

in recent years , convolutional neural networks has achieved remarkable results in a wide range of computer vision applications .

convolutional neural networks have recently achieved great success on various visual recognition tasks .

also , recent studies have shown that immunodominance hierarchies in hiv are major determinants of viral escape from multiple epitopes .

prior research on hiv data has found that ctl immune responses drive within-host hiv diversity .

the networks were trained using a batch size of 256 and optimized using the adaptive moment estimation optimizer .

training for each network was done using stochastic gradient descent with a batch size of 100 , with an adam optimizer .

convolutional neural networks have demonstrated impressive performance on a variety of computer vision tasks .

deep neural networks have recently achieved performance breakthroughs in many of computer vision tasks .

deep neural networks are known to achieve par-human performance over a wide array of classification tasks such as image recognition and machine translation .

convolutional neural networks have been trained to achieve near human-level performance on object detection .

in his seminal paper axelrod , political scientist robert axelrod explains the diversity of opinions and cultures as a consequence of homophily , which is the tendency to interact more frequently with individuals which are more similar .

in his seminal paper , political scientist robert axelrod explains the diversity of cultures as a consequence of homophily , which is the tendency to interact more frequently with individuals which are more similar .

heat kernel estimates for jump processes of mixed types on metric measure spaces .

estimates of heat kernel of fractional laplacian perturbed by gradient operators .

central and non-central limit theorems for weighted power variations of fractional brownian motion .

central limit theorems for sequences of multiple stochas tic integrals .

the dotted and dashed lines represent the pure coulomb and nuclear contributions , respectively while their coherent and incoherent sums are shown by the solid and dot-dashed lines , respectively .

the dotted and dashed lines show the contributions of the pure coulomb and nuclear breakups , respectively , while their coherent sums are represented by solid lines .

mmwave wireless communication has been considered for many other applications beyond cellular systems including wireless local area networks .

millimeter wave communication has been shown to be a promising technique for next generation wireless systems due to a large expanse of available spectrum .

fu et al , ouyang et al utilized frame-based arbitration to provide qos in terms of differentiated bandwidth allocation to an architecture similar to corona .

fu et al , frame-based arbitration is used to provide qos , in terms of differentiated bandwidth allocation , for an architecture similar to corona .

in our fen network , we use the resnet-101 network as our backbone network .

we use a resnet-18 backbone for our adaptive segmentation network .

the notion of load-awareness in coverage analysis is introduced in .

the notion of load awareness in interference modeling in a multi-tier network is introduced in .

the approximated size of the observed cores appears to be an important factor in the obtained mass spectra .

the size of the regions assigned to the cores appears to be important for the appearance of the mass spectra .

convolutional neural networks have achieved state-ofthe-art results in various computer vision tasks .

deep neural networks have shown remarkable success in many domains , such as computer vision .

with a similar scenario , proposed an integrated framework is to reduce the outage probability while maintaining seamless service continuity by serving ue with multiple-beam simultaneously .

the authors in proposed an integrated framework is to reduce the outage probability while maintaining seamless service continuity by serving ue with multiplebeams simultaneously .

here , we provide the phase reduction method for limit cycle oscillators subject to general , colored and non-gaussian , noise including heavy-tailed one .

in this paper , we develop the phase reduction method for limit cycle oscillators subject to general , colored and nongaussian noise .

the holomorphic solutions of general hypergeometric systems at a generic point in c n have been widely studied .

the analytic solutions of hypergeometric systems at a generic point in c n have been widely studied .

deep neural networks have been found to be quite effective for solving problems in the domain of computer vision .

deep neural networks show dramatically accurate results on challenging tasks .

examples of these descriptions are the local binary patterns , the scale invariant feature transform , the histogram of oriented gradients .

these features include the histogram of oriented gradient and scale-invariant feature transform .

deep convolutional neural networks have improved performance of many tasks in computer vision , such as image recognition .

in recent years , convolutional neural networks have achieved significant success in many computer vision tasks , including the super-resolution problem .

however , the word problem remained unsolved until the early seventies , when scheiblich independently provided solutions for free inverse monoids .

the structure of free inverse monoids in general was determined much later independently by scheiblich .

shift-invariant spaces with additional invariance have been studied in the context of wavelet analysis and sampling theory for l 2 and in for l 2 .

the shift-invariant spaces with additional invariance have been used in the study of wavelet analysis and sampling theory for l 2 and in for l 2 .

deep residual networks were first introduced by he et al as a mean to solve the issue of vanishing gradients in deep networks .

residual networks were originally proposed by he et al in the context of image recognition .

the apparatus consists of a box containing one molecule , with a movable piston at the left end and the right end .

each apparatus consists of an interferometer with two outputs .

xie et al combine sparse coding and a deep neural network pretrained with denosing auto-encoder to solve denoising and inpainting problems .

xie et al adopt a deep neural network pre-trained with sparse denoising auto-encoder and demonstrate its ability in blind image inpainting .

neural machine translation has recently shown impressive results .

neural machine translation has made great progress and drawn much attention recently .

we now apply rota-baxter operators and postlie algebras to give an example of triple lie algebra .

we show that postlie algebras provide natural instances of such triple lie algebras .

two-station observations of the interstellar scintillation from pulsars .

high-resolution ca ii observations of the local interstellar medium .

the low energy band function power-law indices for the intervals within each pulse are plotted against pulse width .

the low energy band function power-law indices for intervals within individual pulses are plotted against pulse asymmetry .

the electron exchange-correlation functional was described by the generalized gradient approximation in the form proposed by perdew , burke , and ernzerhof .

a generalized gradient approximation in the form of perdew-burke-ernzerhof was adopted to describe the electron-electron interactions .

in particular , this analysis has been performed for the gepner models .

in , rational boundary states were constructed for gepner models .

contextualized word embeddings are recently shown to be beneficial in many nlp tasks .

in nlp , neural language model pre-training has shown to be effective for improving many tasks .

cooperation can also be defined as the coordination and synchronization of operations carried out by independent actors .

cooperation can also be a form of coordination and a synchronization of operations carried out by independent actors .

this model generalizes the multiple access wiretap channel in as well to the case when the wiretapper is provided with noiseless observations for a subset , of her choice , of the transmitted codeword symbols of both uses .

this model also generalizes the multiple access wiretap channel in to the case when the wiretapper is provided with a subset of noiseless observations of her choice for the transmitted symbols of both users .

generalized gradient approximation is employed for the exchange correlation potential .

the generalized gradient approximation of perdew-burke-ernzerhof form is used for the exchange correlation potential .

we use a deep neural network pre-trained on the imagenet dataset .

we use the resnet-50 architecture and pretrain it on the imagenet dataset .

the connected regular graphs with four distinct eigenvalues were studied by van dam , among others .

connected regular graphs with four distinct adjacency eigenvalues have been studied by doob .

the free energy is the start ing point for many theories dealing with metastability or spinodal decomposition .

thus , even if the solvation free energy is a significant fraction of the overall surface energy , it is unlikely to contribute significantly to the relative stability of these surfaces .

the stability of the beam direction is also monitored by the muon monitor .

the beam direction is tuned by monitoring the muon profile at the muon monitor .

convolutional neural networks have recently achieved the state-of-the-art performance in many image analysis tasks .

recently , deep convolutional neural networks have attracted much research attention in visual recognition , largely due to their excellent performance .

in order to prevent overfitting , dropout was used at every layer .

the dropout was very effective to prevent the overfitting of the discriminator .

in this section we recall the classification of solutions , taken from work of plandowski .

then in section 6 , we recall the classification of solutions , given by plandowski , and related notions .

spin needlets spectral estimation , electronic journal of statistics , vol .

adaptive density estimation for directional data using needlets , annals of statistics , vol .

functional matrix factorizations for cold-start recommendation .

matrix factorization techniques for recommender systems .

this problem can partly be resolved by combining two baselines .

this can be somewhat overcome if two baselines are combined .

to define the size of the elements in the new mesh we follow the adaptive process described in which minimises the number of elements in the new mesh .

to define the size of the elements in the new mesh we follow the adaptive process described in which minimises the number of elements in the new mesh for a given accuracy level .

in this section , we test the adaptive s-step cg method on a number of small examples from the university of florida sparse matrix collection using matlab .

in this section , we report the performance of the sptrsv solvers in cuda on 10 general matrices selected from the university of florida sparse matrix collection .

semantics for possibilistic disjunctive programs .

applications of intuitionistic logic in answer set programming .

the acceleration is a function of the space-time curvature defined by the metric and the lorentz force due to the electromagnetic field .

acceleration is a transient phenomenon associated with the volume becoming dominated by the underdense region .

neural networks have made remarkable progress in achieving encouraging results in digital image processing .

deep neural networks have achieved significant improvements in many computer vision tasks .

each convolutional block consists of a convolutional layer followed by a batch normalization layer which acts as a regularizer .

each block in the decoder consists of a transposed convolution layer followed by batch normalisation followed by a convolution layer .

although deep neural networks have achieved remarkable successes , their dependence on supervised learning has been challenged as a significant weakness .

deep learning approaches , in particularly deep convolutional neural networks , have achieved tremendous successes in various visual recognition tasks .

an implicit factored scheme for the compressible navier-stokes equations .

a compact forth-order finite difference scheme for the steady incompressible navier-stokes equations .

pesquita et al leveraged the location and specific structural features to show that these can be used to determine if and where the next change is going to take place in the gene ontology 3 .

pesquita and couto investigated if the location and specific structural features can be used to determine if and where the next change is going to occur in the gene ontology 3 .

deep convolutional neural networks have recently led to a rapid advance in the state-ofthe-art object recognition systems .

artificial neural networks have received significant progresses after the proposal of deep learning models .

the model was trained end-to-end on 128-sized batches using adam optimizer .

the model is trained end-to-end using the adam optimizer with a mini-batch size of 100 .

the unprecedented success of deep learning models in a variety of tasks including computer vision has led to the proliferation of deeper and more complex models .

after the emergence of deep learning , several versions of artificial neural networks have solved a variety of challenging problems in areas such as recognition .

these show that the simulation is sensitive to the parameter division time .

these show that the simulation is not sensitive to the parameter recruit delay .

we approximate the actual array pattern by the sectored antenna model introduced in .

for the microwave links , we use the microcell channel model described in .

zhang et al were the first to take into consideration the fact that the interference matrix h ps may not be perfectly known to the su .

zhang et al were the first to take into consideration the fact that the interference matrix h 12 may not be perfectly known to the su .