Application Of Learning Techniques Research Articles

INCORPORATING HOMOLOGUES INTO SEQUENCE EMBEDDINGS FOR PROTEIN ANALYSIS

Statistical and learning techniques are becoming increasingly popular for different tasks in bioinformatics. Many of the most powerful statistical and learning techniques are applicable to points in a Euclidean space but not directly applicable to discrete sequences such as protein sequences. One way to apply these techniques to protein sequences is to embed the sequences into a Euclidean space and then apply these techniques to the embedded points. In this work we introduce a biologically motivated sequence embedding, the homology kernel, which takes into account intuitions from local alignment, sequence homology, and predicted secondary structure. This embedding allows us to directly apply learning techniques to protein sequences. We apply the homology kernel in several ways. We demonstrate how the homology kernel can be used for protein family classification and outperforms state-of-the-art methods for remote homology detection. We show that the homology kernel can be used for secondary structure prediction and is competitive with popular secondary structure prediction methods. Finally, we show how the homology kernel can be used to incorporate information from homologous sequences in local sequence alignment.

Learning algorithms: theory and applications in signal processing, control and communications

Over the past decade, interest in computational or non-symbolic artificial intelligence has grown. The algorithms involved have the ability to learn from past experience, and therefore have significant potential in the adaptive control of signals and systems. This book focuses on the theory and applications of learning algorithms-stochastic learning automata; artificial neural networks; and genetic algorithms, evolutionary strategies, and evolutionary programming. Hybrid combinations of various algorithms are also discussed.Chapter 1 provides a brief overview of the topics discussed and organization of the text. The first half of the book (Chapters 2 through 4) discusses the basic theory of the learning algorithms, with one chapter devoted to each type. In the second half (Chapters 5 through 7), the emphasis is on a wide range of applications drawn from adaptive signal processing, system identification, and adaptive control problems in telecommunication networks.Learning Algorithms: Theory and Applications in Signal Processing, Control and Communications is an excellent text for final year undergraduate and first year graduate students in engineering, computer science, and related areas. Professional engineers and everyone involved in the application of learning techniques in adaptive signal processing, control, and communications will find this text a valuable synthesis of theory and practical application of the most useful algorithms.

Applying Learning Techniques to On‐the‐job Development: Part III

This third and final article summarises our views of the place and importance of Learning to Learn as an approach to management training and education. In it we shall update many of the approaches to which we referred in the first and second articles and which we have developed through the use of our methods on in‐company and open groups. We would hope to leave you with the idea that Learning to Learn is a different kind of animal from most other approaches, and with an understanding of the implications of this difference for training as a whole.

Applying Learning Techniques to On‐the‐job Development Part II

This is the second of three articles describing our approach to self‐development. Two case studies of individual managers are provided to illustrate the process and some of the outcomes of the approach. An organisational case study is also provided to illustrate how organisational structure and culture can interact with the learning and problem‐solving styles of its members. We conclude the article with some suggestions as to the range of actual and potential applications of this approach to training and learning: management and organisation development, team building, coaching skills, the manager's training role and the design and management of training programmes.

Applying Learning Techniques to On‐the‐job Development:

The focus of an increasing amount of interest in management training and development in recent years has been on the application of learning to learn and self‐development approaches. We have been working on this area for several years now with some success. We have produced three articles for publication in JEIT through which to share our ideas, of which this is the first. They are based on several in‐company applications and include our starting assumptions, practical techniques for application, our conclusions and our ideas for future uses of the approach.