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2. Dynamic time warping - Wikipedia

   en.wikipedia.org/wiki/Dynamic_time_warping

   In time series analysis, dynamic time warping (DTW) is an algorithm for measuring similarity between two temporal sequences, which may vary in speed. For instance, similarities in walking could be detected using DTW, even if one person was walking faster than the other, or if there were accelerations and decelerations during the course of an ...

3. Algorithm - Wikipedia

   en.wikipedia.org/wiki/Algorithm

   In mathematics and computer science, an algorithm (/ ˈælɡərɪðəm / ⓘ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation. [ 1 ] Algorithms are used as specifications for performing calculations and data processing.

4. Long short-term memory - Wikipedia

   en.wikipedia.org/wiki/Long_short-term_memory

   The Long Short-Term Memory (LSTM) cell can process data sequentially and keep its hidden state through time. Long short-term memory (LSTM) [ 1 ] is a type of recurrent neural network (RNN) aimed at dealing with the vanishing gradient problem [ 2 ] present in traditional RNNs. Its relative insensitivity to gap length is its advantage over other ...

5. List of datasets for machine-learning research - Wikipedia

   en.wikipedia.org/wiki/List_of_datasets_for...

   These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high ...

6. Proximal policy optimization - Wikipedia

   en.wikipedia.org/wiki/Proximal_Policy_Optimization

   v. t. e. Proximal policy optimization (PPO) is an algorithm in the field of reinforcement learning that trains a computer agent's decision function to accomplish difficult tasks. PPO was developed by John Schulman in 2017, [1] and had become the default reinforcement learning algorithm at the US artificial intelligence company OpenAI. [2]

7. Heuristic (computer science) - Wikipedia

   en.wikipedia.org/wiki/Heuristic_(computer_science)

   Heuristic (computer science) In mathematical optimization and computer science, heuristic (from Greek εὑρίσκω "I find, discover") is a technique designed for problem solving more quickly when classic methods are too slow for finding an exact or approximate solution, or when classic methods fail to find any exact solution in a search space.