title: The positive effects of negative information: Extending one-class classification models in binary proteomic sequence classification

authors: Mutter, Stefan

subjects: computer science

abstract: Profile Hidden Markov Models (PHMMs) have been widely used as models for Multiple Sequence Alignments. By their nature, they are generative one-class classifiers trained only on sequences belonging to the target class they represent. Nevertheless, they are often used to discriminate between classes. In this paper, we investigate the beneficial effects of information from non-target classes in discriminative tasks. Firstly, the traditional PHMM is extended to a new binary classifier. Secondly, we propose propositional representations of the original PHMM that capture information from target and non-target sequences and can be used with standard binary classifiers. Since PHMM training is time intensive, we investigate whether our approach allows the training of the PHMM to stop, before it is fully converged, without loss of predictive power.

text: The positive effects of negative information: Extending one-class classification models in binary proteomic sequence classification Profile Hidden Markov Models (PHMMs) have been widely used as models for Multiple Sequence Alignments. By their nature, they are generative one-class classifiers trained only on sequences belonging to the target class they represent. Nevertheless, they are often used to discriminate between classes. In this paper, we investigate the beneficial effects of information from non-target classes in discriminative tasks. Firstly, the traditional PHMM is extended to a new binary classifier. Secondly, we propose propositional representations of the original PHMM that capture information from target and non-target sequences and can be used with standard binary classifiers. Since PHMM training is time intensive, we investigate whether our approach allows the training of the PHMM to stop, before it is fully converged, without loss of predictive power.

year: 2009

title: ebBe

authors: Soo, Chin-En Keith

subjects: colour

abstract: ebBe is a visualisation of tweets in realtime.

ebBe uses word frequency to express the notion and motion of an ebb by contracting lines representing creation and decay. The created lines in different qualities will mimic and manifest a live visual artwork.

text: ebBe ebBe is a visualisation of tweets in realtime.

ebBe uses word frequency to express the notion and motion of an ebb by contracting lines representing creation and decay. The created lines in different qualities will mimic and manifest a live visual artwork.

year: 2021

title: Monitoring first year Maori students enrolled in selected Faculty of Arts and Social Sciences courses: A report prepared for the Dean of the Faculty of Arts and Social Sciences

authors: Levy, Michelle Patricia

subjects: maori students

abstract: Monitoring first year Maori Students Enrolled in Selected Faculty of Arts andSocial Sciences Courses. The total number of Maori students targeted by this project was 182, representing 93% of the total number of Maori students enrolled in Semester B level one courses. The majority of students participating in this initiative were first year students, although a small number of students taking 100 level courses were second, third or graduate year students. 11 Student views on the monitoring and support initiative Students were provided with the opportunity to comment on the monitoring and support initiative. All students contacted (49) recommended that this intervention continue for future first year Maori students enrolled in FASS.

text: Monitoring first year Maori students enrolled in selected Faculty of Arts and Social Sciences courses: A report prepared for the Dean of the Faculty of Arts and Social Sciences Monitoring first year Maori Students Enrolled in Selected Faculty of Arts andSocial Sciences Courses. The total number of Maori students targeted by this project was 182, representing 93% of the total number of Maori students enrolled in Semester B level one courses. The majority of students participating in this initiative were first year students, although a small number of students taking 100 level courses were second, third or graduate year students. 11 Student views on the monitoring and support initiative Students were provided with the opportunity to comment on the monitoring and support initiative. All students contacted (49) recommended that this intervention continue for future first year Maori students enrolled in FASS.

year: 2003-03-01