In learning goal-directed behavior, state representation is important for adapting to the environment and achieving goals. A predictive state representation called successive representation (SR) has ...

ABSTRACT: Forests are facing several challenges related to forest deforestation mostly due to the actions of man. The study used a CA-Markov model to examine land use/land cover dynamics from 1986 to ...

Parse Document Model (Python) provides Pydantic models for representing text documents using a hierarchical model. This library allows you to define documents as a hierarchy of (specialised) nodes ...

ABSTRACT: The purpose of this study was to address the challenges in predicting and classifying accuracy in modeling Container Dwell Time (CDT) using Artificial Neural Networks (ANN). This objective ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

We propose GrainGNN, a surrogate model for the evolution of polycrystalline grain structure under rapid solidification conditions in metal additive manufacturing. High fidelity simulations of ...

Abstract: An accurate estimate of the timing profile at different stages of the physical design flow allows for pre-emptive changes to the circuit, significantly reducing the design time and effort.

Graph representations of source code — abstract syntax tree (AST), control-flow graph (CFG), data-flow graphs, etc. — are now commonly employed by machine learning researchers for code research. In ...