Implementation of the PPDT in the paper "Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees"

Higson - Motor Insurance Demo App. This is a sample application to demonstrate capabilities of Higson.io library (Java Business Rules Engine (BRE)/Java Pricing Engine). The application demonstrates responsive quotations for Car/Motor Insurance based on decision tables and Rhino functions (for math calculations).

This repository contains the exercises I completed in the course of Artificial Intelligence Fundamentals. It covers topics such as agents, min and max, depth and breadth-first search, KNN, K-means, decision trees, and Prolog statements.

Import a csv that follows the format provided by the 2 test sets and you will get an optimized question flow to return a Yes/No answer. This is an implementation of the ID3 Algorithm.

Object/animal guessing game (a.k.a. 20 Questions game), which learns on your answers, implemented using Decision Tree Learning in Java

This repository contains 3 different projects made for class of Artificial Intelligence CC2006.

java math expression parser is faster than JEP

The project was built using maven project utilized WEKA in building the decision tree model and JavaFX in building GUI

This Java program is a console-based Tic-Tac-Toe game where you can play against an AI opponent. The AI uses the Minimax algorithm to make optimal moves, simulating all possible outcomes to ensure the best strategy. The game includes input validation and automatically detects win, loss, or tie conditions.

Fast Random Forests implementation for Weka. Streamlined version of Fan Supek's FastRandomForest.

Individual project on Decision Trees for the Curricular Unit of "Artificial Intelligence" @ FCUP, Porto

A visualization of the training of 2D data points of different colors through Decision Trees

Classification based on Ensemble technical at Time Series

We present a framework called TLF that builds a classifier for the target domain having only few labeled training records by transferring knowledge from the source domain having many labeled records. While existing methods often focus on one issue and leave the other one for the further work, TLF is capable of handling both issues simultaneously…

EDI uses two layers/steps of imputation namely the Early-Imputation step and the Advanced-Imputation step.

A machine learning decision tree

Classification of items with a Line, Decision Tree. State-Space Search, Genetic Algorithms, Case-Based Reasoning, Self-Organising Maps and much more!

Lab solutions for Artificial Intelligence ("Umjetna inteligencija") course at FER 2019/20 led by izv. prof. dr. sc. Jan Šnajder and doc. dr. sc. Marko Čupić

Este repositório é a lista de exercícios em Java realizadas no bootcamp da Generation.

Kokomo is a competitor robot built for Robocode that uses regression tree based machine learning (called "Dynamic Segmentation" on the Robocode wiki) for its targeting strategy