Search Results for author: Huaduo Wang

Found 12 papers, 2 papers with code

Superfast Selection for Decision Tree Algorithms

no code implementations31 May 2024 Huaduo Wang, Gopal Gupta

We present a novel and systematic method, called Superfast Selection, for selecting the "optimal split" for decision tree and feature selection algorithms over tabular data.

feature selection

NeSyFOLD: Neurosymbolic Framework for Interpretable Image Classification

no code implementations30 Jan 2023 Parth Padalkar, Huaduo Wang, Gopal Gupta

We evaluate the performance of our "semantic labelling algorithm" to quantify the efficacy of the semantic labelling for both the NeSy model and the NeSy-EBP model.

Classification Image Classification

FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data

2 code implementations14 Feb 2022 Huaduo Wang, Farhad Shakerin, Gopal Gupta

FOLD-RM is an automated inductive learning algorithm for learning default rules for mixed (numerical and categorical) data.

FOLD-R++: A Toolset for Automated Inductive Learning of Default Theories from Mixed Data

no code implementations AAAI Workshop CLeaR 2022 Huaduo Wang, Gopal Gupta

FOLD-R is an automated inductive learning algorithm for learning default rules with exceptions for mixed (numerical and categorical) data.

feature selection

AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning

no code implementations17 Oct 2021 Suraj Kothawade, Vinaya Khandelwal, Kinjal Basu, Huaduo Wang, Gopal Gupta

That is, while machine learning technology is good for observing and automatically understanding the surroundings of an automobile, driving decisions are better automated via commonsense reasoning rather than machine learning.

Autonomous Driving BIG-bench Machine Learning +3

FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data

1 code implementation15 Oct 2021 Huaduo Wang, Gopal Gupta

We also create a powerful tool-set by combining FOLD-R++ with s(CASP)-a goal-directed ASP execution engine-to make predictions on new data samples using the answer set program generated by FOLD-R++.

feature selection

A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories

no code implementations26 Sep 2021 Huaduo Wang, Farhad Shakerin, Gopal Gupta

We present a clustering- and demotion-based algorithm called Kmeans-FOLD to induce nonmonotonic logic programs from positive and negative examples.

Clustering Inductive logic programming

DiscASP: A Graph-based ASP System for Finding Relevant Consistent Concepts with Applications to Conversational Socialbots

no code implementations17 Sep 2021 Fang Li, Huaduo Wang, Kinjal Basu, Elmer Salazar, Gopal Gupta

We consider the problem of finding relevant consistent concepts in a conversational AI system, particularly, for realizing a conversational socialbot.

grASP: A Graph Based ASP-Solver and Justification System

no code implementations2 Apr 2021 Fang Li, Huaduo Wang, Gopal Gupta

As a result, justification for why a literal is in the answer set is hard to produce.

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