comp3411 comp9418 Prolog
Question 2.1 (2 marks): Intra-construction. This transformation takes two rules, with the same head, such as
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Algorithm 算法代写
算法代写代考包括以下内容：
- 概念：时间复杂度、空间复杂度、算法分析、数据结构代写
- 搜索算法：二叉搜索树、哈希表
- 排序算法：快速排序、归并排序
- 动态规划算法代写
- 图论：最短路径算法代写
- 数学：数论代写
- 代码实现：C / C++ / Java / Python代写
Algorithms courses typically include topics such as data structures, basic algorithms, graph algorithms, dynamic programming, computational geometry, and number theory. They can also include more advanced topics such as parallel algorithms, randomized algorithms, and approximation algorithms.
COM00177M NetLogo
Your submission should be a single zip file named after your exam number, Yxxxxxxx.zip, which contains: • For Part 1 of this assessment – a single Jupyter or Colab notebook EVAC1.ipynb combining code and explanations – a PDF EVAC1.pdf of the state of the same notebook after all of its code has been executed. •
CV RV Lab3 Solutions
Week 5 Lab 3: Task 1: Work your way through the script file. Using the help function, understand how each function works, from edge detection, Hough Transform and line detection. Write a summary of how this algorithm works, particularly when finding the start/finish of a line. Line 8: imread reads the image ‘cluttera2.jpg’ and creates
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Computer Vision and Imaging [06 30213]
1. Instructions Computer Vision and Imaging [06 30213] Computer Vision and Imaging (Dubai) [06 32578] Assessed Assignment Hamid Dehghani, School of Computer Science, University of Birmingham, U.K. April 2023 You are to work individually for this assessment, and produce one report. The report must be no more than THREE pages long including graphs and tables.
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COMP2611 Computer Organization Fall 2022 Programming Project: The Gold Miner Sub
COMP2611 Computer Organization Fall 2022 Programming Project: The Gold Miner Submission deadline: 11:55PM, Nov 30 via Canvas Copyright: All project-related materials (project description, modified MARS, project skeleton) is for personal usage of students of HKUST COMP2611 Fall 2021 offering. Disclosing on any websites other than the official course web page constitutes a breach of the
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QQMN534 FINAL Independent Coursework Questions
5QQMN534: Algorithmic Independent Final Assignment Questions (75% Total Weight) Individual Assignment: Information • Start Date: 31/03/2023 10am • End date: 28/04/2023 10am • Part A: Practical Coding: 3 questions. 70% • Part B: Theory: 3 questions 30% • Questions have sub marks. • Total mark is scored out of 100. Content covered: • Practical Python
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QQMN534 question3 final template
# -*- coding: utf-8 -*- # 5QQMN534 22-23 # Candidate Number: # Do not enter Name #%% QUESTION3: Backtest RSI Strategy Do not use libraries for the RSI technical indicator. Write the mathematics for the Wilder Smoothing RSI indicator yourself. Write the functions and mathematics for portfolio metrics Use log returns #%% Set dir and
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CS6601 CS3600 Assignment 6 Hidden Markov Models
Assignment 6: Hidden Markov Models Setup 1. Clonethisrepository: git clone (personal repository link).git 2. Navigatetotheassignment_6/directory 3. ActivateyourAIenvironmentifyou’reusingAnaconda 4. Runthefollowingcommandtoinstallallrequirementsforthisassignment: pip install -r requirements.txt Hidden Markov Models are used extensively in Artificial Intelligence, Pattern Recognition, Computer Vision, and many other fields. If a system has unobservable (hidden) states and each state is independent of the prior,
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CS6601 CS3600 Assignment 6 Hidden Markov Models submission
import numpy as np import operator def gaussian_prob(x, para_tuple): “””Compute the probability of a given x value x (float): observation value para_tuple (tuple): contains two elements, (mean, standard deviation) Probability of seeing a value “x” in a Gaussian distribution. We simplify the problem so you don’t have to take care of integrals. Theoretically speaking, the
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INFS3202 7202 Individual Project
INFS3202/7202 Individual Project 1. The individual project is intended to evaluate your proficiency in designing and developing WIS, with an emphasis on the technology aspect of the course. 2. In general, this project includes a project proposal (5 marks) and implementation (40 marks) that will be assessed in THREE milestone check- up sessions based on
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