[PDF] Top 20 Metric Learning with Submodular Functions
Has 10000 "Metric Learning with Submodular Functions" found on our website. Below are the top 20 most common "Metric Learning with Submodular Functions".
Metric Learning with Submodular Functions
... this metric and some variations around the constraints imposed on the ...state-of-the-art metric learning approaches in terms of ...well with the dimension of the ...representation ... Voir le document complet
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Metric learning for structured data
... metric learning algorithms and design experiment on ...concern with the case of multiple relational tables between multiple entity ...starting with the selec- tion of similar, dissimilar ... Voir le document complet
169
Learning Activation Functions in Deep Neural Networks
... machine learning classifiers like Naive Bayes (NB), Logistic Regression (LR), Gradient Boosting (GB) and Random Forest ...visitors with purchase ...accuracy metric is not enough to measure the ... Voir le document complet
171
On computing tree and path decompositions with metric constraints on the bags
... graphs with tree-breadth one are in some sense the hardest instances for the problem of computing the ...graphs with tree-breadth ...graphs with tree- breadth one that are planar or bipartite ... Voir le document complet
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ON A GENERALIZED METRIC DIMENSION WITH PARTIALLY KNOWN GRAPH TOPOLOGY
... disconnected, with k components and k − 1 unobserved edges connecting the com- ponents, and we consequently introduce the concept of generalized metric ...generalized metric dimension of the graph, ... Voir le document complet
14
On positive functions with positive fourier transforms
... properties with those allowed by an algebra of polynomials, where positivity means absence of real roots, hence reasonably simple conditions for the polynomial ...Hermite–Fourier functions, ... Voir le document complet
17
Mass transportation with LQ cost functions
... Mass transportation with LQ cost functions A. Hindawi ∗ L. Rifford † J.-B. Pomet ‡ Abstract We study the optimal transport problem in the Euclidean space where the cost function is given by the value ... Voir le document complet
17
VIRAL : coupling congestion control with fair video quality metric
... flows achieve good intra-fairness in terms of PSNR and a quite good inter-fairness in terms of throughput (Fig. 6 ). The two video flows obtain an average throughput of 3.15 Mb/s while TFRC achieves an average throughput ... Voir le document complet
11
Programming with hardware/software functions
... Programming with hardware/software functions 3 1 Introduction FPGAs (Field Programmable Gate Arrays) are a promising class of circuits for building the next genera- tion of ...co-existing with ... Voir le document complet
19
Entire functions sharing small functions with their difference operators
... [3] B. Chen, and S. Li, Uniquness problems on entire functions that share a small function with their difference operators , Adv. Difference Equ. 2014, 2014:311, 11 pp. [4] Y. M. Chiang, S. J. Feng, On the ... Voir le document complet
15
Modeling Novelty-Driven Industrial Dynamics with Design Functions: understanding the role of learning from the unknown
... product! With this hypothesis we bring an answer to a critical question of models of growth theory: what should be the probability of success of innovation (in a random model) or what should be the sales and price ... Voir le document complet
29
On Moment Problems with Holonomic Functions
... tion with parameters over a domain defined by polynomial ...operators with polynomial coefficients, which correspond to holonomicity, and those with rational coefficients which correspond to ... Voir le document complet
25
Bounding sequence extremal functions with formations
... If u has three distinct letters, then u is isomorphic to a sequence obtained by adding two occurrences of c anywhere in aabb or abba, so we consider 30 cases. If u had the form xxv or vxx for some letter x and sequence v ... Voir le document complet
21
Sequential Metric Dimension
... deal with through the following ...The metric dimension of G, denoted by MD(G), is then the minimum number of vertices that must be probed simultaneously to immediately (in one step) determine the location ... Voir le document complet
32
Overestimation learning with guarantees
... teed to overestimate the model f . Hypotheses and restrictions In order to extend the overestimation property to the whole domain we can obviously not consider any arbitrary func- tion f . In this paper, we restrict our ... Voir le document complet
10
Sequential Metric Dimension
... steps with the “no-backtrack condition”. The case of trees with the “no-backtrack condition” has first been studied in [17] where it was shown that all trees T are locatable, and in [6], the upper bound on ... Voir le document complet
17
The metric system
... L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions présentées dans le site LISEZ CES CONDITIONS ATTENTIVEMENT AVANT D’UTILISER CE SITE WEB. Canadian Bui[r] ... Voir le document complet
5
Computational metric embeddings
... Despite this worst-case optimality, it is easy to construct metric spaces that embed with very small distortion into R d, and at the same time any projection (in fact, any[r] ... Voir le document complet
145
Damping control by fusion of reinforcement learning and control Lyapunov functions
... IX. DISCUSSION Stability guarantees in the proposed control schemes are ensured by design, i.e. by imposing Lyapunov-based constraints on the available control choices to the RL algorithm. These guarantees hold ... Voir le document complet
7
An approximation method with rational functions
... In the preceding paragraph it was shown that there exists a rational function Rn(z) which by interpolation approximates a given analytic function F(z) best in the [r] ... Voir le document complet
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