A polynomial commitment scheme is a cryptographic protocol that allows a party to commit to a polynomial while keeping it hidden and later reveal and prove evaluations of the polynomial at specific points without revealing the polynomial itself. This is particularly useful in various cryptographic appli...
to as (N,K) code. For a given (N,K) code, it can be proved that there is a polynomial g(x) whose highest power is N–K=R, and an R-bit check code can be generated based on g(x). The algorithm is based on the GF(2) polynomial arithmetic, as shown in the following ...
A machine learning algorithm is a set of rules or processes used by an AI system to conduct tasks.
Program is language dependent and algorithm is language independent.Notation of an AlgorithmName of the algorithm: It should specify the problem to be solved. Step no.: It is an identification tag ( step numbering ) that specify the numbering of steps/statements. It is a positive integer. Expl...
An AI model is a program that applies one or more algorithms to data to recognize patterns, make predictions or make decisions without human intervention.
which is a fixed-size value derived from the data being transmitted. this checksum is then appended to the data and sent along with it. upon receiving the data, the receiver performs the same crc algorithm and compares the calculated checksum with the received one. if they match, it indicate...
One of the goals of quantum computing research is to study which problems can be solved by a quantum computer faster than a classical computer and how large the speedup can be. One well-known example is the Grover's algorithm, which yield a polynomial speedup over the classical counterparts....
Depending on the algorithm’s complexity and the dataset’s size, this could take seconds to days. 7 Model evaluation: Evaluating the model’s performance ensures that it produces reliable and accurate predictions on new data. This is a key difference from unsupervised learning: Since you know ...
A machine learning workflow is the systematic process of developing, training, evaluating, and deploying machine learning models. It encompasses a series of steps that guide practitioners through the entire lifecycle of a machine learning project, from problem definition to solution deployment. Why ...
A polynomial commitment scheme is a cryptographic protocol that allows a party to commit to a polynomial while keeping it hidden and later reveal and prove evaluations of the polynomial at specific points without revealing the polynomial itself. This is particularly useful in various cryptographic appli...