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Investigating prediction modelling of academic performance for students in rural schools in Kenya
(2016)
Academic performance prediction modelling provides an opportunity for learners' probable outcomes to be known early, before they sit for final examinations. This would be particularly useful for education stakeholders to ...
An automatic marker for vector graphics drawing tasks
(2016)
In recent years, the SVG file format has grown increasingly popular, largely due to its widespread adoption as the standard image format for vector graphics on the World Wide Web. However, vector graphics predate the modern ...
Design and optimisation of a low cost Cognitive Mesh Network
(2016)
Wireless Mesh Networks (WMNs) have been touted as the most promising wireless technology in providing high-bandwidth Internet access to rural, remote and under-served areas, with relatively lower investment cost as compared ...
Augmenting security event information with contextual data to improve the detection capabilities of a SIEM
(2017)
The increasing number of cyber security breaches have revealed a need for proper cyber security measures. The emergence of the internet and the increase in overall connectivity means that data is more easily accessible and ...
Program Improvement by Automatic Redistribution of Intermediate Results
(MIT Artificial Intelligence Laboratory, 1988-05)
The problem of automatically improving the performance of computer programs has many facets. A common source of program inefficiency is the use of abstraction techniques in program design: general tools used in a specific ...
MIT Mobile Robots - What's Next?
(MIT Artificial Intelligence Laboratory, 1987-11)
The MIT Mobile Robot Project began in January of 1985 with the objective of building machines that could operate autonomously and robustly in dynamically changing environments. We now have four working robots, each ...
Planning is Just a Way of Avoiding Figuring Out What To Do Next
(MIT Artificial Intelligence Laboratory, 1987-09)
The idea of planning and plan execution is just an intuition based decomposition. There is no reason it has to be that way. Most likely in the long term, real empirical evidence from systems we know to be built that way ...
A Proposal For An Intelligent Debugging Assistant
(MIT Artificial Intelligence Laboratory, 1988-01)
There are many ways to find bugs in programs. For example, observed input and output values can be compared to predicted values. An execution trace can be examined to locate errors in control flow. The utility of these and ...
The Novice's Guide to the UNIX at the AI Laboratory Version 1.0
(MIT Artificial Intelligence Laboratory, 1988-05)
This is a manual for complete beginners. It requires little knowledge of the MIT computer systems, and assumes no knowledge of the UNIX operating system. This guide will show you how to log onto the AI Lab's SUN system ...
Spurious Behaviors in Qualitative Prediction
(MIT Artificial Intelligence Laboratory, 1988-03)
I examine the scope and causes of the spurious behavior problem in two widely different approaches to qualitative prediction, Sacks' PLR and Kuipers' QSIM. QSIM's proliferation of spurious behaviors and PLR's limited ...