Browsing by Author "Smith, Tony C."
Now showing items 1-5 of 15
-
Automatically linking MEDLINE abstracts to the Gene Ontology
(2003)Much has been written recently about the need for effective tools and methods for mining the wealth of information present in biomedical literature (Mack and Hehenberger, 2002; Blagosklonny and Pardee, 2001; Rindflesch et ... -
Better text compression from fewer lexical n-grams
(IEEE Computer Society, 2001)Word-based context models for text compression have the capacity to outperform more simple character-based models, but are generally unattractive because of inherent problems with exponential model growth and corresponding ... -
Computer concepts without computers: a first course in computer science
(Department of Computer Science, University of Waikato, 1997-02)While some institutions seek to make CS1 curricula more enjoyable by incorporating specialised educational software [1] or by setting more enjoyable programming assignments [2], we have joined the growing number of Computer ... -
Data on coding association rules from an inpatient administrative health data coded by International classification of disease - 10th revision (ICD-10) codes
(2018)Data presented in this article relates to the research article entitled “Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data” (Peng et al. [1]) ... -
Determination of ribonuclease sequence-specificity using Pentaprobes and mass spectrometry
(RNA Society, 2012)The VapBC toxin-antitoxin (TA) family is the largest of nine identified TA families. The toxin, VapC, is a metal-dependent ribonuclease that is inhibited by its cognate antitoxin, VapB. Although the VapBCs are the largest ...
Co-authors for Tony C. Smith
Supervised by Tony C. Smith
Showing up to 5 theses - most recently added to Research Commons first.
-
Characterisation of VapC in Mycobacterium smegmatis
(University of Waikato, 2016)Members of the VapC family of proteins cleave RNA at specific sites in order to regulate biological processes with a cell. Characterization of the sites targeted by a specific protein using conventional biochemical techniques ... -
Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method
(University of Waikato, 2013)Relational Reinforcement Learning (RRL) is a subfield of machine learning in which a learning agent seeks to maximise a numerical reward within an environment, represented as collections of objects and relations, by ...
