CS 189 / 289A Introduction to Machine Learning Fall 2022 Jennifer Listgarten, Jitendra Malik HW5 Due Tuesday 11/15 at 11:59pm • Homework 5 consists mainly of programming questions, with some written questions about the basics of the neural network architectures. • We prefer that you typeset your answers using LATEX or other word processing software. […]
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CS 189 / 289A Introduction to Machine Learning Fall 2022 Jennifer Listgarten, Jitendra Malik HW2 Due 10/04/21 at 11:59pm • Homework 2 consists entirely of coding questions. • We prefer that you typeset your answers using LATEX or other word processing software. If you haven’t yet learned LATEX, one of the crown jewels of computer
CS 188 Introduction to Artificial Intelligence Exam Prep 2 Q1. Searching with Heuristics Consider the A* searching process on the connected undirected graph, with starting node S and the goal node G. Suppose the cost for each connection edge is always positive. We define ℎ∗(𝑋) as the shortest (optimal) distance to G from a node
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CS 188 Introduction to Artificial Intelligence Exam Prep 1 Q1. SpongeBob and Pacman (Search Formulation) Pacman bought a car, was speeding in Pac-City, and SpongeBob wasn’t able to catch him. Now Pacman has run out of gas, his car has stopped, and he is currently hiding out at an undisclosed location. In this problem, you
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Spring 2023 Introduction to Artificial Intelligence Exam Prep 3 (a) Prove, or find a counterexample to, each of the following assertions: (i) If 𝛼 ⊧ 𝛾 or 𝛽 ⊧ 𝛾 (or both) then (𝛼 ∧ 𝛽) ⊧ 𝛾 (ii) If (𝛼 ∧ 𝛽) ⊧ 𝛾 then 𝛼 ⊧ 𝛾 or 𝛽 ⊧ 𝛾 (or both).
CS 188 Project 2 Introduction The Expr Class A note on conjoin and disjoin Prop Symbol Names (Important!) Rules Pacphysics symbols SAT Solver Setup Question 1 (2 points): Logic Warm-up Question 2 (2 points): Logic Workout Question 3 (4 points): Pacphysics and Satisfiability Question 4 (3 points): Path Planning with Logic Question 5 (3 points):
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CS188 Project 2 Logic and Classical Planning # logicPlan.py # ———— # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a
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The Language RR MUST compiler course 1. Motivation We design a language that can conveniently express computations tasks, like computing expressions. Especially it can specify and carry out computations based on rules. Therefore, the name of the language is RR, which stands for Rapid Rules, Rolling Rules, or Rapid Reasoning, for fun. An exciting logo
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CS106 CS442 SE442 Homework 1: scanner RR_language.pdf Sample_RR_programs CS106 & CS442 & SE442 Compiler principles and constructions Macau University of Science and Technology 1. Introduction We will construct a lexical analyzer, also called a scanner for the specified source language. A scanner can be designed as an automaton using the DFA (deterministic finite automaton) techniques.
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CS6603 AI Ethics and Society Homework Project #3 ● Dixon, Lucas & Li, John & Sorensen, Jeffrey & Thain, Nithum & Vasserman, Lucy. “Measuring and Mitigating Unintended Bias in Text Classification,” AAAI/ACM Conference on AI, Ethics, and Society, pp. 67-73, 2018. https://www.aies- conference.com/2018/contents/papers/main/AIES_2018_paper_9.pdf ● Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, and Adam Kalai,
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