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6
item(s) in:
Computer Science Graduate Research
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Subject - LCSH:
Abstract:
1.
A survey of transfer learning methods for reinforcement learning
Machine learning;
Transfer Learning (TL) is the branch of Machine Learning concerned with improving performance on a target task by leveraging knowledge from a related (and usually already learned) source task. TL is p
2.
Combined object recognition approaches for mobile robotics
Computer vision; Remote sensing; Optical detectors;
There are numerous solutions to simple object recognition problems when the machine is operating under strict environmental conditions (such as lighting). Object recognition in real-world environments
3.
Developing web crawlers for vertical search engines : a survey of the current research
Data mining;
Vertical search engines allow users to query for information within a subset of documents relevant to a pre-determined topic (Chakrabarti, 1999). One challenging aspect to deploying a vertical search
4.
Finding Nash equilibria in two-player, zero sum games
Game theory;
In many games, it is desirable to find strategies for all players that simultaneously maximize their respective worst-case payoffs. A set of strategies satisfying this criterion is called a Nash equil
5.
Information extraction in text mining
Data mining ; Text processing (Computer science) ;
Text mining’s goal, simply put, is to derive information from text. Using multitudes of technologies from overlapping fields like Data Mining and Natural Language Processing we can yield knowledge f
6.
Machine vision : a survey
Computer vision ; Image processing;
This paper surveys the field of machine vision from a computer science perspective. It is written to act as an introduction to the field and presents the reader with references to specific implementat
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