Graph algorithms | Search algorithms
Bidirectional search is a graph search algorithm that finds a shortest path from an initial vertex to a goal vertex in a directed graph. It runs two simultaneous searches: one forward from the initial state, and one backward from the goal, stopping when the two meet. The reason for this approach is that in many cases it is faster: for instance, in a simplified model of search problem complexity in which both searches expand a tree with branching factor b, and the distance from start to goal is d, each of the two searches has complexity O(bd/2) (in Big O notation), and the sum of these two search times is much less than the O(bd) complexity that would result from a single search from the beginning to the goal. Andrew Goldberg and others explained the correct termination conditions for the bidirectional version of Dijkstra’s Algorithm. As in A* search, bi-directional search can be guided by a heuristic estimate of the remaining distance to the goal (in the forward tree) or from the start (in the backward tree). Ira Pohl was the first one to design and implement a bi-directional heuristic search algorithm. Search trees emanating from the start and goal nodes failed to meet in the middle of the solution space. The BHFFA algorithm fixed this defect Champeaux (1977). A solution found by the uni-directional A* algorithm using an admissible heuristic has a shortest path length; the same property holds for the BHFFA2 bidirectional heuristic version described in de Champeaux (1983). BHFFA2 has, among others, more careful termination conditions than BHFFA. (Wikipedia).
Solving a natural logarithmic equation using quadratic formula
👉 Learn about solving logarithmic equations. Logarithmic equations are equations involving logarithms. To solve a logarithmic equation, we first use our knowledge of logarithm laws/properties to express the terms in both sides of the equality sign as single terms. Then, we equate the numbe
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How to use trigonometry values to solve a word problem - Learn math online
👉 Learn how to solve the word problems with trigonometry. Word problems involving angles, including but not limited to: bearings, angle of elevations and depressions, triangles problems etc are solved using trigonometry. To be able to solve these problems it is important that you have a gr
From playlist Evaluate Inverse Trigonometric Functions
Solve a logarithmic equation with quadratic formula
👉 Learn about solving logarithmic equations. Logarithmic equations are equations involving logarithms. To solve a logarithmic equation, we first use our knowledge of logarithm laws/properties to express the terms in both sides of the equality sign as single terms. Then, we equate the numbe
From playlist Solve Logarithmic Equations with Logs on Both Sides
GTAC 2011: BidiChecker: Automated Bidi Testing of Web Applications
6th Annual Google Test Automation Conference 2011 (GTAC 2011) "Cloudy With A Chance Of Tests" Computer History Museum Mountain View, CA USA October 26-27, 2011 Presented by Yana Margolin and Jason Elbaum. ABSTRACT BidiChecker is a tool for the automated testing of web pages fo
From playlist GTAC 2011
How to solve logarithmic equations
👉 Learn about solving logarithmic equations. Logarithmic equations are equations involving logarithms. To solve a logarithmic equation, we first use our knowledge of logarithm laws/properties to express the terms in both sides of the equality sign as single terms. Then, we equate the numbe
From playlist Solve Logarithmic Equations | Learn About
How to solve logarithmic equations
👉 Learn about solving logarithmic equations. Logarithmic equations are equations involving logarithms. To solve a logarithmic equation, we first use our knowledge of logarithm laws/properties to express the terms in both sides of the equality sign as single terms. Then, we equate the numbe
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[BERT] Pretranied Deep Bidirectional Transformers for Language Understanding (discussions) | TDLS
Toronto Deep Learning Series, 6 November 2018 Paper: https://arxiv.org/abs/1810.04805 Speaker: Danny Luo (Dessa) https://dluo.me/ Host: Ada Date: Nov 6th, 2018 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding We introduce a new language representation m
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Solving for sine with no constraints
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Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 7 – Vanishing Gradients, Fancy RNNs
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3c7n6jW Professor Christopher Manning & PhD Candidate Abigail See, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Sieb
From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
Logic 1 - Propositional Logic | Stanford CS221: AI (Autumn 2019)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3ChWesU Topics: Logic Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford University http://onlinehub.stanford.edu/ Associate Professor
From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2019
Solving for all the solutions with sine using inverse operations
👉 Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the given eq
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Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 12 – Subword Models
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3DrDKa1 Professor Christopher Manning, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Lear
From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
Stanford CS224N: NLP with Deep Learning | Winter 2020 | BERT and Other Pre-trained Language Models
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3waBO2R Jacob Devlin, Google AI Language https://research.google/people/106320/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Profe
From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
Solving a logarithmic equation using the quadratic formula
👉 Learn about solving logarithmic equations. Logarithmic equations are equations involving logarithms. To solve a logarithmic equation, we first use our knowledge of logarithm laws/properties to express the terms in both sides of the equality sign as single terms. Then, we equate the numbe
From playlist Solve Logarithmic Equations with Logs on Both Sides
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 17 – Multitask Learning
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Depe55 Professor Christopher Manning, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Lear
From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Victor Costan License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.006 Introduction to Algorithms, Fall 2011
What do I need to know to solve logarithmic equations
👉 Learn about solving logarithmic equations. Logarithmic equations are equations involving logarithms. To solve a logarithmic equation, we first use our knowledge of logarithm laws/properties to express the terms in both sides of the equality sign as single terms. Then, we equate the numbe
From playlist Solve Logarithmic Equations | Learn About
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 10 – Question Answering
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3nd2ZH2 Professor Christopher Manning, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Lear
From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
Sound Propagation With Bidirectional Path Tracing | Two Minute Papers #111
The paper "Interactive Sound Propagation with Bidirectional Path Tracing" is available here: http://gaps-zju.org/bst/ Veach's paper on Multiple Importance Sampling: http://www.cs.jhu.edu/~misha/ReadingSeminar/Papers/Veach95.pdf http://dl.acm.org/citation.cfm?id=218498 I am also holding a
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Summary for solving logarithmic equations
👉 Learn about solving logarithmic equations. Logarithmic equations are equations involving logarithms. To solve a logarithmic equation, we first use our knowledge of logarithm laws/properties to express the terms in both sides of the equality sign as single terms. Then, we equate the numbe
From playlist Solve Logarithmic Equations | Learn About