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A Simple Computer!
WOOOO congratulations you made it to the final chapter!! This chapter pulls together what we’ve learned about electricity, circuits, and logic gates... -
Personalized Learning Made Simple: A Deep Knowledge Tracing Model for Individual Cognitive Development
Knowledge tracing is the fundamental technology for constructing learner models that dynamically estimate and predict a learner’s knowledge state.... -
C# Simple Mail Transfer Protocol
In this tenth chapter, we delve into the realm of online development, focusing on the Simple Mail Transfer Protocol (SMTP). While most are familiar... -
Simple hierarchical PageRank graph neural networks
Graph neural networks (GNNs) have many variants for graph representation learning. Several works introduce PageRank into GNNs to improve its...
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Simple Debugging
In the previous chapter, we got our simple application live, hosted inside of an Azure Static Web App and running in a production environment. -
The AI-TOOLKIT: Machine Learning Made Simple
In this chapter you will learn how the AI-TOOLKIT works and how to use it. The full version of the AI-TOOLKIT is free, for non-commercial purposes,... -
Modelling for Efficient Scientific Data Storage Using Simple Graphs in DNA
With an annual exponential growth rate, the demand for massive data archives is almost outpacing the capabilities of currently available world...
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Activity Monitoring Made Easier by Smart 360-degree Cameras
This paper proposes the use of smart 360-degree cameras for activity monitoring. By exploiting the geometric properties of these cameras and adopting... -
Simple Domain Adaptation for Sparse Retrievers
In Information Retrieval, and more generally in Natural Language Processing, adapting models to specific domains is conducted through fine-tuning.... -
Symbolic Model Checking for TLA+ Made Faster
The need to provide formal guarantees about the behaviour of the algorithms underpinning modern distributed systems became evident in recent years.... -
Simple Framework for Interpretable Fine-Grained Text Classification
Fine-grained text classification with similar and many labels is a challenge in practical applications. Interpreting predictions in this context is... -
Answer Set Programming Made Easy
We take up an idea from the folklore of Answer Set Programming (ASP), namely that choices, integrity constraints along with a restricted rule format... -
Simple Linear Regression
Imagine you are a business investor and want to invest in startup ventures that are likely to be highly profitable. What are all the factors you... -
Simple Relational Patterns
This chapter describes methods to compare simple relational patterns during the evolution of an ontology (is-a reversal), detecting redundant... -
Approximation Algorithms for the Two-Watchman Route in a Simple Polygon
The two-watchman route problem is that of computing a pair of closed tours in an environment so that the two tours together see the whole environment...
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Simple Diff Algorithms
Starting from this chapter, we will introduce the core Diff algorithm of the renderer. Simply put, when the sub-nodes of the old and new vnodes are a... -
Parallelizable Simple Recurrent Units with Hierarchical Memory
Recurrent neural networks and its many variants have been widely used in language modeling, text generation, machine translation, speech recognition... -
XsimGCL’s cross-layer for group recommendation using extremely simple graph contrastive learning
Group recommendation involves suggesting items or activities to a group of users based on their collective preferences or characteristics. Graph...
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S5TR: Simple Single Stage Sequencer for Scene Text Recognition
As an active research topic in computer vision, scene text recognition (STR) aims to recognize character sequences in natural scenes. Currently,... -
A Simple yet Effective Framework for Active Learning to Rank
While China has become the largest online market in the world with approximately 1 billion internet users, Baidu runs the world’s largest Chinese...