node js造句

例句与造句

1. where e _ j is the external importance given to node j, and \ alpha is a parameter.
2. The second node is called Node J . Node J has a public component Kj and a private component j.
3. The second node is called Node J . Node J has a public component Kj and a private component j.
4. Three 1024-node J-machine systems have been built and are kept at MIT, Caltech and Argonne National Laboratory.
5. Assuming that each node has an attribute \ alpha _ i, the probability of jumping from node j to i is given by:
6. It's difficult to find node js in a sentence. 用node js造句挺难的
7. where n denotes the total nodes in a network and d ( i, j ) denotes the length of the shortest path between a node i and another node j.
8. (ii ) With probability 1-\ alpha add one link from an arbitrary node to a node j of class [ k ] chosen with a probability proportional to k f ( k ).
9. Braintree provides client libraries and integration examples in Ruby, Python, PHP, Java, . NET, and Node JS; mobile libraries for iOS and Android; and Braintree . js for in-browser card encryption.
10. where k _ i is the degree of node i and the sum is made over all pre-existing nodes j ( i . e . the denominator results in twice the current number of edges in the network ).
11. where k _ i is the degree of the node i and the sum is taken over all pre-existing nodes j ( i . e . the denominator results in twice the current number of edges in the network ).
12. We represent the error in output node j in the n th data point ( training example ) by e _ j ( n ) = d _ j ( n )-y _ j ( n ), where d is the target value and y is the value produced by the perceptron.
13. In the case of interconnected multilayer systems, the probability to move from a node i in layer \ alpha to node j in layer \ beta can be encoded into the rank-4 transition tensor T ^ { i \ alpha } _ { j \ beta } and the discrete-time walk can be described by the master equation
14. Consider a weighted network  either directed or undirected  with n nodes denoted by j = 1, &, n; and a random walk process on this network with a transition matrix M . The m _ { jk } element of M describes the probability of the random walker that has reached node i, proceeds directly to node j.
15. By using index notation, adjacency matrices can be indicated by A ^ { i } _ { j }, to encode connections between nodes i and j, whereas multilayer adjacency tensors are indicated by M ^ { i \ alpha } _ { j \ beta }, to encode connections between node i in layer \ alpha and node j in layer \ beta.