Full Papers
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer, Byeong-Soo Jeong and Young-Koo Lee: Efficient Single-Pass Mining of Weighted Interesting Patterns
Claus de Castro Aranha and Hitoshi Iba: Application of a Memetic Algorithm to The Portfolio Optimization Problem
Remco Bouckaert: Practical Bias Variance Decomposition
Chuanliang Chen, Yun-Chao Gong and Rongfang Bie: Discriminant Analysis Methods for Microarray Data Classification
Pawel Dybala, Michal Ptaszynski, Shinsuke Higuchi, Rafal Rzepka and Kenji Araki: Humor Prevails! - Implementing a Joke Generator into a Conversational System
James Foulds and Eibe Frank: Revisiting Multiple-Instance Learning via Embedded Instance Selection
Eibe Frank and Mark Hall: Additive Regression Applied to a Large-Scale Collaborative Filtering Problem
Marcus Frean and Phillip Boyle: Using Gaussian Processes to Optimize Expensive Functions
Kathryn Hempstalk and Eibe Frank: Discriminating Against New Classes: One-Class versus Multi-Class Classification
Bernhard Hengst: Partial Order Hierarchical Reinforcement Learning
Warren Jin, Olivier de Vel, Ke Zhang and Nianjun Liu: Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks
Robert Layton, Peter Vamplew and Chris Turville: Using Stereotypes to Improve Early-Match Poker Play
Tao Li and Yang Zhang: Improving Transductive Support Vector Machine by Ensembling
Yan Li, Edward Hung, Korris Chung and Joshua Huang: Building A Decision Cluster Classification Model for High Dimensional Data by A Variable Weighting k-Means Method
Chavalit Likitvivatanavong and Roland Yap: A Refutation Approach to Neighborhood Interchangeability in CSPs
Nathaniel Love, Eric Schkufza and Michael Genesereth: Propositional Automata and Cell Automata: Representational Frameworks for Discrete Dynamic Systems
Jie Lu, Yijun Zhu, Xianyi Zeng, Jun Ma, Guangquan Zhang and Ludovic Koehl: A Fuzzy Decision Support System for Garment New Product Development
Nobuyuki Morioka: Learning Object Representations Using Sequential Patterns
Stefan Mutter, Bernhard Pfahringer and Geoffrey Holmes: Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis
Masatoshi Nagamine, Tetsuhiro Miyahara, Tetsuji Kuboyama, Hiroaki Ueda and Kenichi Takahashi: Evolution of Multiple Tree Structured Patterns from Tree-Structured Data using Clustering
Keith Noto, Milton Saier and Charles Elkan: Learning to Find Relevant Biological Articles Without Negative Training Examples
Bahadorreza Ofoghi, John Yearwood and Liping Ma: FrameNet-Based Fact-Seeking Answer Processing: A Study of Semantic Alignment Techniques and Lexical Coverage
John Oommen and Ebaa Fayyoumi: An AI-Based Causal Strategy for Securing Statistical Databases Using Micro-Aggregation
Malcolm Ryan: Constraint-Based Multi-Agent Path Planning
Rolf Schwitter: Working for Two: A Bidirectional Grammar for a Controlled Natural Language
Liangdong Shi, Yang Gao, Lei Wu and Lin Shang: Clustering with XCS on Complex Structure Dataset
Kilho Shin and Tetsuji Kuboyama: Kernels Based on Distribution of Agreement Subtrees
Hemant Singh, Amitay Isaacs, Tapabrata Ray and Warren Smith: Infeasibility Driven Evolutionary Algorithm (IDEA) for Engineering Design Optimization
Xiaoxun Sun: L-Diversity Based Incremental Maintenance Technique for Large Time-Evolving Microdata
John Thornton, Jolon Faichney, Michael Blumenstein and Trevor Hine: Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
Makoto Tanji, Daichi Ando and Hitoshi Iba: Improving Metrical Grammar with Grammar Expansion
Chandima Tilakaratne, Musa A. Mammadov and Sidney A. Morris: Predicting Trading Signals of Stock Market Indices Using Neural Networks
Andrea Torsello and David Dowe: Learning a Generative Model for Structural Representations
Philip Uren, Mike Cameron-Jones and Arthur Sale: Improving Promoter Prediction Using Multiple Instance Learning
Hans van Ditmarsch, Andreas Herzig, Jérôme Lang and Pierre Marquis: Introspective Forgetting
Langford White and Sarah Hickmott: An Optimality Principle for Concurrent Systems
Wilson Wong, Wei Liu and Mohammed Bennamoun: Constructing Dynamic Domain Corpus using the Web for Ontology Learning
Dongmo Zhang: Fixed-Point Property of Bargaining Solution
Yanchang Zhao, Huaifeng Zhang, Longbing Cao and Chengqi Zhang: Combined Pattern Mining: from Learned Rules to Actionable Knowledge
Yi Zhen and Chunping Li: Cross-Domain Knowledge Transfer Using Semi-Supervised Classification
Ingrid Zukerman, Enes Makalic and Michael Niemann: Using Probabilistic Feature Matching to Understand Spoken Descriptions
Short Papers
Gil Chamiel and Maurice Pagnucco: Exploiting Ontological Structure for Complex Preference Assembly
Richard Dazeley and Byeong Ho Kang: An Approach for Generalising Symbolic Knowledge
Richard Dazeley and Byeong Ho Kang: Detecting the Knowledge Boundary with Prudence Analysis
Junbin Gao, Michael Antolovich and Paul Kwan: L1 LASSO Modeling and Its Bayesian Inference
Om Gupta and Ray Jarvis: Optimal Global Path Planning in Time Varying Environments Based on a Cost Evaluation Function
Yun-Chao Gong and Chuanliang Chen: Locality Spectral Clustering
Rami Khushaba, Ahmed Al-Ani, Adel Al-Jumaily and Hung Nguyen: A Hybrid Nonlinear-Discriminant Analysis Feature Projection Technique
Ulf Krumnack, Angela Schwering, Kai-Uwe Kuehnberger and Helmar Gust: Re-Representation in a Logic-Based Model for Analogy Making
Kyung Ho Lee, Young Soo Han, Jung Min Lee, Jae Joon Lee and Byung Hak Lee: Agent-Based Collaborative System and Case-Based Conflict Resolution Process in Preliminary Ship Design
Zhihua Liao and Zili Zhang: A Generalized Joint Inference Approach for Citation Matching
Anang Hudaya Muhamad Amin and Asad Khan: Single-Cycle Image Recognition using an Adaptive Granularity Associative Memory Network
Philip H.P. Nguyen, Ken Kaneiwa, Dan Corbett and Minh-Quang Nguyen: An Ontology Formalization of Relation Type Hierarchy in Conceptual Structure Theory
Satoru Nishimura, Masahiro Terabe and Kazuo Hashimoto: Decision Tree Induction from Numeric Data Stream
Bernhard Pfahringer, Xing Wu and Geoffrey Holmes: Mining Arbitrarily Large Datasets using heuristic k-Nearest Neighbour Search
Joel Scanlan, Jacky Hartnett and Raymond Williams: DynamicWEB: Adapting to Concept Drift in COBWEB
Shiven Sharma, Ziad Kobti and Scott Goodwin: Knowledge Generation for Improving Simulations in UCT for General Game Playing
Peter Vamplew, John Yearwood, Richard Dazeley and Adam Berry: On the Limitations of Scalarisation for Multi-Objective Reinforcement Learning of Pareto Fronts
Ian Watson: CASPER: A Case-Based Poker-Bot
Liyan Zhang and Chunping Li: A Novel Recommending Algorithm Based on Topical PageRank
Xujuan Zhou, Yuefeng Li, Peter Bruza, Yue Xu and Raymond Lau: Pattern Taxonomy Mining for Information Filtering
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