CSC423 Learning and Prediction, 1999-2001

2002: CSC423 was replaced by CSE454 `Learning and Prediction I: Data Mining' (3pts) and CSE455 `Learning and Prediction II: MML Data Mining' (3pts). CSE454 is a prerequisite for CSE455. See D.L.Dowe for details of CSE455.

2001: DLD started off.

CSE423: Topics include: elementary information theory (including noiseless coding and Huffman codes); elementary foundations of inductive inference; introduction to Minimum Message Length (MML) inference; MML approaches to clustering, unsupervised classification, decision trees, causal modelling, data mining. Applications to be considered include: image compression, models of protein folding, bushfire prediction, DNA alignment and the human genome project, authorship identification for texts, etc.

• prac 1: doggy do
• prac 2: [#2]
• prac 3: see DLD, but might use these [data].

2000: Thursday 3-5pm S15 Semester 2, Clayton campus.
Assessment: Examination and practical. 20 enrolled as of 19/7/'00

• Handbook entry 2000
• Lecture progress
• Assessment (provisionally):
  • prac #1, 20%, due CSSE general office midday Friday week 6,
  • prac #2, 30%, due CSSE general office midday Friday week 11,
  • exam t.b.a. 50%
• prac #0, the great coffee hypothesis.
• prac #1, midday Friday 25 August '00
• prac #2, t.b.a.

1999: Thursday 3-5pm S15 Semester 2, Clayton campus.
Assessment: Examination and practical.

• Handbook entry 1999
• 1999 plan & progress, prac#1
• Assessment: Prac 20% + 30%, exam 50%.
• 1998 GF + DLD

[Past Questions] (some).

Research Material

• LA on MML and Bibliography
• Probability
• Information
• Coding
• Inference
• 2-State
• Multi-state & 2
• Integers
• Normal & 2
• Fisher Information
• Structured Hypotheses
• W&B '68 classification, clustering, mixtures
• Decision trees
• TR32
Wallace & Georgeff, inc' PFSA
• (Hidden) Markov Models
• Clustering + Markov Model
• Sequence compression
• Alignment & approximate matching, also with compression
• Segmentation & Polygon and curve fitting
• to be continued