Identification of Art Paintings by Machine Learning
Jiani Chen
Computer Science
University of New Mexico
Albuquerque, U.S.
e-mail: cjn312568030@unm.edu
AbstractAs machine learning algorithms have advanced over
the last decade. There has been in increased
PART 1: Logistic regression
Recall that Logistic Regression maximizes the conditional data likelihood as follows:
This function is concave and can be optimized using the gradient ascent/descent
algorithm.
For all th
Homework 2
Naive Bayes Document Classifier
Jiani Chen
1. Description on how my code works
My code contains Matlab(MAP.m) and Python(main.py, identifying.py, initial.py and
priors_overfitting.py).
Pick a value of alpha and change it in MAP.m lines 22.
Run
Homework #1
1.
How the code works.
Just type python training.py on the terminal. It will show that
choose one evaluation criterion. You can type 1 or 2 to choose.
Then it will show that select one confidence level in determining
split stopping. You can ty
units for beta in HW2
I'm curious about the units for beta for the prior in the problem description for HW2:
In all of the slides and examples in class beta is number of counts of something, so it should be an
integer. Yet it is fractional in the problem
CS 529 Proposal
Jiani Chen
The problem for the project is to examine how machine learning can be applied
to the problem of identifying an artists painting. In particular, the goal of this
project is to classify a set of paintings, by labeling them with a