MLJ 2006

49 papers

A Case Based Approach to Expressivity-Aware Tempo Transformation Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras

A Suffix Tree Approach to Anti-Spam Email Filtering Rajesh Mysore Pampapathi, Boris G. Mirkin, Mark Levene

A Unified View on Clustering Binary Data Tao Li

Adaptive Game AI with Dynamic Scripting Pieter Spronck, Marc J. V. Ponsen, Ida G. Sprinkhuizen-Kuyper, Eric O. Postma

Adaptive Stepsizes for Recursive Estimation with Applications in Approximate Dynamic Programming Abraham P. George, Warren B. Powell

Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor

Aggregate Features and ADABOOSTfor Music Classification James Bergstra, Norman Casagrande, Dumitru Erhan, Douglas Eck, Balázs Kégl

Aligning Music Audio with Symbolic Scores Using a Hybrid Graphical Model Christopher Raphael

An Algorithmic Theory of Learning: Robust Concepts and Random Projection Rosa I. Arriaga, Santosh S. Vempala

An Analysis of Diversity Measures E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao

An Efficient Top-Down Search Algorithm for Learning Boolean Networks of Gene Expression Dougu Nam, Seunghyun Seo, Sangsoo Kim

Application of Abductive ILP to Learning Metabolic Network Inhibition from Temporal Data Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen H. Muggleton

Asymptotic Analysis of Temporal-Difference Learning Algorithms with Constant Step-Sizes Vladislav B. Tadic

Bootstrap Learning for Accurate Onset Detection Ning Hu, Roger B. Dannenberg

Classification Using Hierarchical Naïve Bayes Models Helge Langseth, Thomas D. Nielsen

Classification-Based Melody Transcription Daniel P. W. Ellis, Graham E. Poliner

Classification-Based Objective Functions Michael Rimer, Tony R. Martinez

Complexity Parameters for First Order Classes Marta Arias, Roni Khardon

Cost Curves: An Improved Method for Visualizing Classifier Performance Chris Drummond, Robert C. Holte

Data-Guided Model Combination by Decomposition and Aggregation Mingyang Xu, Michael Golay

Distribution-Based Aggregation for Relational Learning with Identifier Attributes Claudia Perlich, Foster J. Provost

Extremely Randomized Trees Pierre Geurts, Damien Ernst, Louis Wehenkel

First Order Random Forests: Learning Relational Classifiers with Complex Aggregates Anneleen Van Assche, Celine Vens, Hendrik Blockeel, Saso Dzeroski

Gleaner: Creating Ensembles of First-Order Clauses to Improve Recall-Precision Curves Mark H. Goadrich, Louis Oliphant, Jude W. Shavlik

Graph Kernels and Gaussian Processes for Relational Reinforcement Learning Kurt Driessens, Jan Ramon, Thomas Gärtner

Kernels as Features: On Kernels, Margins, and Low-Dimensional Mappings Maria-Florina Balcan, Avrim Blum, Santosh S. Vempala

Learning Decomposable Markov Networks in Pseudo-Independent Domains with Local Evaluation Yang Xiang, J. Lee

Learning Goal Hierarchies from Structured Observations and Expert Annotations Tolga Könik, John E. Laird

Learning Long-Term Chess Strategies from Databases Aleksander Sadikov, Ivan Bratko

Learning to Bid in Bridge Asaf Amit, Shaul Markovitch

Machine Learning and Games Michael H. Bowling, Johannes Fürnkranz, Thore Graepel, Ron Musick

Markov Logic Networks Matthew Richardson, Pedro M. Domingos

Mathematical Applications of Inductive Logic Programming Simon Colton, Stephen H. Muggleton

Melodic Analysis with Segment Classes Darrell Conklin

Model-Based Transductive Learning of the Kernel Matrix Zhihua Zhang, James T. Kwok, Dit-Yan Yeung

Modeling, Analyzing, and Synthesizing Expressive Piano Performance with Graphical Models Graham Grindlay, David P. Helmbold

MODL: A Bayes Optimal Discretization Method for Continuous Attributes Marc Boullé

On Mining Summaries by Objective Measures of Interestingness Naim Zbidi, Sami Faïz, Mohamed Limam

PRL: A Probabilistic Relational Language Lise Getoor, John Grant

Propositionalization-Based Relational Subgroup Discovery with RSD Filip Zelezný, Nada Lavrac

Quantitative Pharmacophore Models with Inductive Logic Programming Ashwin Srinivasan, David Page, Rui Camacho, Ross D. King

Randomised Restarted Search in ILP Filip Zelezný, Ashwin Srinivasan, C. David Page Jr.

Relational IBL in Classical Music Asmir Tobudic, Gerhard Widmer

Semi-Supervised Model-Based Document Clustering: A Comparative Study Shi Zhong

The Max-Min Hill-Climbing Bayesian Network Structure Learning Algorithm Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis

Training a Reciprocal-Sigmoid Classifier by Feature Scaling-Space Kar-Ann Toh

Universal Parameter Optimisation in Games Based on SPSA Levente Kocsis, Csaba Szepesvári

Using Duration Models to Reduce Fragmentation in Audio Segmentation Samer A. Abdallah, Mark B. Sandler, Christophe Rhodes, Michael A. Casey

XRules: An Effective Algorithm for Structural Classification of XML Data Mohammed Javeed Zaki, Charu C. Aggarwal