This paper presents an inductive learning system called the Genetic Instance-Based Learning (GIBL) system. This system combines instance-based learning approaches with evolutionary computation in order to achieve high accuracy in the presence of irrelevant or redundant attributes. Evolutionary computation is used to find a set of attribute weights that yields a high estimate of classification a...

We describe the development of a Dutch memory-based shallow parser. The availability of large treebanks for Dutch, such as the one provided by the Spoken Dutch Corpus, allows memory-based learners to be trained on examples of shallow parsing taken from the treebank, and act as a shallow parser after training. An overview is given of a modular memory-based learning approach to shallow parsing, c...

This paper introduces memory-based learning as a viable approach for Cantonese tone recognition. The memorybased learning algorithm employed here outperforms other documented current approaches for this problem, which is based on neural networks. Various numbers of tones and features are modeled to find the best method for feature selection and extraction. To further optimize this approach, exp...

This article describes some work in the domain of application execution time prediction, which is always necessary for schedulers. We define a hybrid method of time prediction that is both profile-based and historic-based. This prediction is achieved by combining a program structure analysis with an instance-based learning method. We demonstrate that taking account of an application's profile i...

Understanding images in terms of logical and hierarchical structures is crucial for many semantic tasks, including image retrieval, scene understanding and robotic vision. This paper combines robust feature extraction, qualitative spatial relations, relational instance-based learning and compositional hierarchies in one framework. For each layer in the hierarchy, qualitative spatial structures ...

Agriculture constantly faces various challenges including attacks from new pests and insects. With large farm sizes plummeting manpower in the agricultural sector, it becomes challenging to continuously monitor crops for pest infestation. In this research paper, a specific type of attack known as white fly has been investigated which affects variety crops. This paper presents four different app...

Abstract 3D particle streak velocimetry (3D-PSV) and surface flow visualization using tufts both require the detection of curve segments, streaks or tufts, in images. We propose use deep learning based instance segmentation neural networks Mask region-based convolutional network (R-CNN) Cascade R-CNN, trained on fully synthetic data, to accurately identify, segment, classify tufts. For 3D-PSV, ...

Instance-based learning methods predict the solution of a case from the solutions of similar cases. However, solutions can be generated from less similar cases as well, provided appropriate “case adaptation” rules are available to adjust the prior solutions to account for dissimilarities. In fact, case-based reasoning research on adaptation-guided retrieval (AGR) shows that it may be beneficial...