N.H. Minsky, Representation of binary trees on associative memories, in: presented at Inf. Process. Letters, 1973.Representation of binary trees on associative memories - Minsky - 1973 () Citation Context ...2 9222 approach is quite common when facing the problem of implementing pointer-based ...
A simple, efficient algorithm is presented for the transformation of dendritic trees representations. The binary tree form significantly reduces traversal time, simplifies software for tree analysis and yields compact storage of the neuronal trees. These algorithms are easy to program and are useful in...
binary treesdefinite integralsWe analyze properties of the 2-adic valuation of an integer sequence that originates from an explicit evaluation of a quartic integral. We present a tree that encodes this valuation.doi:10.1515/integ.2010.016Sun, Xinyu...
We remark that there are representations of V into wobbling groups of amenable groups, notably those of solvable groups with exponential growth (containing binary trees) as in the approach of [17] for {{\,\textrm{SL}\,}}_{3}(\mathbb {Z}).References...
2 Theory There are many publications available describing the theory of binary trees. These trees are popular since they allow the search of the element to be performed in c*ln(n) operations, where c is some constant and n is the number of elements in the tree. The major and still ...
(Bilge et al.2017) developed the RiskTeller system, which analyzes logs of binary file appearances in machines to effectively forecast which machines might face infection risks in the upcoming months. However, while exhibiting excellent performance in specific domains, these binary prediction models ...
binary classification results such as 0 and 1), the model can be generalized to cope with a binary classification setting. This is achieved by applying the sigmoid function, which is also known as a squashing function since real values are mapped onto [0, 1]. This mapping can be expressed...
The graph pooling technique, as a key step in graph neural networks, simplifies the graph structure by merging nodes or subgraphs, which significantly improves the computational efficiency and feature extraction ability of graph neural networks. Although various graph pooling methods have been proposed ...
and Ni, W.-C.: Internal path length of the binary representation of heap- ordered trees. Inform. Process. Lett., 51, (1994), 129-132. MR 1290206W.-C. Chen and W.-C. Ni (1994b). Internal path length of the binary representation of heap- ordered trees. Information Processing ...
of a binary tree and the arbitrarily shaped surfaces, which are used to partition the image, are represented in the non-leaf nodes of the tree. In a preferred embodiment, arbitrarily oriented lines passing through the image boundaries are employed to partition a two-dimensional image into a ...