Evidence of uneven selective pressure on different subsets of the conserved human genome : implications for the significance of intronic and intergenic DNA

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Investigation into Human Preference between Common and Unambiguous Lexical Substitutions

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Characters of the generic Hecke algebra of a system of bn-pairs

This thesis is concerned vith the construction of the characters of the generic Hecke algebra of a system of BN- pairs of type (W,R). The approach used exploits the connection between these characters and those of the Coxeter group W. Part I of the thesis gives definitions, results and conjectures relevant to calculating the characters of any generic Hecke algebra and Part II applies these results to the problem of calculating the characters of certain generic Hecke algebras. In more detail: Chapter 1 gives basic definitions and describes the connection between the characters of the generic Hecke algebra and those of the Coxeter group W. Chapter 2 divides the problem of calculating the characters into two parts and gives conjectures and results concerning one of these 'parts'. The results given solve this part of the 'problem ( in a non-explicit manner) for some but not all generic Hecke algebras. The last three chapters are all concerned with solving the other 'part' of the problem by an inductive method which uses the connection described in chapter 1. Chapter 3 describes this method ( the 'circle product'). Chapters 4 and 5 apply this method to a particular 'family' of generic Hecke algebras, culminating in an explicit formula (given in theorem 5.3.9) for certain character values. The appendices contain tables of character values of some generic Hecke algebras

Unsupervised Temporospatial Neural Architecture for Sensorimotor Map Learning

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Real-time Event Detection Using Self-Evolving Contextual Analysis (SECA) Approach

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Machine Autonomy : Definition, Approaches, Challenges and Research Gaps

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Predicting Supervise Machine Learning Performances for Sentiment Analysis Using Contextual-Based Approaches

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Review of Classification Algorithms with Changing Inter-Class Distances

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Application of feature selection methods for automated clustering analysis : a review on synthetic datasets

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