Inf2B Coursework 2 Submission due: 4pm, Friday 5th April 2019 Hiroshi Shimodaira and JinHong Lu 1 Outline (Ver. 1.0) The coursework consists of two tasks, Task 1 – PCA and clustering, Task 2 – classification with K-NN and Bayes classification with Gaussian distributions, in which we use a data set of handwritten characters (digits). You […]
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Lecture 4: Black-Scholes Formulas and Implied Volatility J. R. Zhang Department of Computer Science The University of Hong Kong ⃝c 2019 J. R. Zhang All Rights Reserved 1/33 Outline 1 Review of Lecture 3 2 Option Valuation 3 Black-Scholes Formulas 4 Summary 5 Implied Volatility 6 Solving nonlinear implicit equations 7 Implied Volatility 2/33 Asset
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Name: Student ID: CS181 Winter 2019 – Final Due Friday, March 15, 11:59 PM • This exam is open-book and open-notes, but any materials not used in this course are prohibited, including any material found on the internet. Collaboration is prohibited. Please avoid temptation by not working on the final while you are in the
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Project 4 Gee-nomics Time due: 11 PM Thursday, March 14 Introduction ………………………………………………………………………………………………………….3 What Do You Need to Do? …………………………………………………………………………………….4 What Will We Provide?………………………………………………………………………………………….7 Details: The Classes You MUST Write ………………………………………………………………….11 Trie Class Template………………………………………………………………………………………….11 What is a Trie?……………………………………………………………………………………………..12 Trie() and ~Trie() ………………………………………………………………………………………..13 void reset()…………………………………………………………………………………………………..13 void insert(const string& key, const ValueType& value) …………………………………..14 std::vector find(const std::string& key,
Problem 1¶ Load Iris data. Estimate the SVM classifier of three types of Iris using hard margin SVM (C = Inf) cross-validation = 3. Use the code below.For fit measure use default cross-validation score — share correct predictions. Can you estimate the model? If you cannot why? In [1]: from __future__ import division, print_function, unicode_literals #
Recitation 4: OpenMP Programming 15-418 Parallel Computer Architecture and Programming CMU 15-418/15-618, Spring 2019 CMU 15-418/15-618, Spring 2019 Goals for today ▪Learn to use Open MP 1. 2. 3. Sparse matrix-vector code ▪ Understand “CSR” sparse matrix format ▪ Simplest OpenMP features Parallelize array sum via OpenMP reductions Parallelize radix sort ▪ More complex OpenMP
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Carnegie Mellon Assignment 3: GraphRats GraphRats 15-418/618 Spring 2019 1 Carnegie Mellon Topics ¢ Application ¢ Implementation Issues ¢ Optimizing for Parallel Performance ¢ Useful Advice 15-418/618 Spring 2019 2 Carnegie Mellon Basic Idea t=0 012 345 678 ¢ Graph § KXKgrid ¢ Initial State § Start with all R rats in corner ¢ Transitions
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GraphRats 15-418/618, Spring 2019 Assignment 3 GraphRats! Assigned: Due: Last day to handin: Fri., Feb. 15 Wed., Mar. 6, 11:59 pm Sat., Mar. 9 1 Overview Before you begin, please take the time to review the course policy on academic integrity at: http://www.cs.cmu.edu/ ̃418/academicintegrity.html Download the Assignment 3 starter code from the course Github using:
Unit 2 Code Description This document will describe the code that implements the experiments from unit 2, how ACT-R is interfaced to them, and some commands that can be used from the prompt to get information about the model instead of using the Environment tools. Before getting into the specifics of the code and commands
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ACT-R 7.6+ Reference Manual Dan Bothell Includes material adapted from the ACT-R 4.0 manual by Christian Lebiere, documentation on the perceptual motor components by Mike Byrne and the Introduction is a shortened version of the ACT- R description written by Raluca Budiu for the ACT-R web site. 2 Notice ACT-R 7.6 represents a significant rewrite