Exponentially Weighted Moving Average or Exponential Weighted Average is a very important concept to understand Optimization in Deep Learning. It means that as we move forward, we simultaneously ...

If you want to compound wealth in the stock market, you can do so by buying an index fund. But one can do better ...

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US Dollar Index Futures, State Street® Utilities Select Sector SPDR® ETF. Read 's Market Analysis on Investing.com ...

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HydroGraph Clean Power is revolutionizing graphene production with a patented detonation synthesis technology that is safer, cleaner, and more scalable than traditional methods. The company’s graphene ...

Abstract: Graph-based semi-supervised learning (GSSL) is a quite important technology due to its effectiveness in practice. Existing GSSL works often treat the given labels equally and ignore the ...

Abstract: In this talk, I will present a new combinatorial algorithm for maximum flow that is based on running the weighted push-relabel algorithm introduced in [BBST ...

Formally, this directed weighted graph G = (N, E) will consist of a set of nodes N and a set of unweighted/weighted edges E. Explicit assumption for N and E: copyable, comparable (i.e. you can do ==, ...

Collection of custom, most common data structures such as singly linked list, doubly linked list, stack,queue,hash table,graph... This project had me use an adjacency matrix to model a weighted ...