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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
16 years 1 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
ECAL
2007
Springer
16 years 29 days ago
Emergence of Genetic Coding: An Information-Theoretic Model
This paper1 introduces a simple model for evolutionary dynamics approaching the “coding threshold”, where the capacity to symbolically represent nucleic acid sequences emerges ...
Piraveenan Mahendra, Daniel Polani, Mikhail Prokop...
IROS
2006
IEEE
142views Robotics» more  IROS 2006»
16 years 25 days ago
Using Hidden Markov Models to Generate Natural Humanoid Movement
— This paper proposes a Hidden Markov Model (HMM) based approach to generate human-like movements for humanoid robots. Given human motion capture data for a class of movements, p...
Junghyun Kwon, Frank C. Park
ICDAR
2005
IEEE
16 years 12 days ago
A Model for Detecting and Merging Vertically Spanned Table Cells in Plain Text Documents
A spanned cell in a table is a single, complete unit that physically occupies multiple columns and/or multiple rows. Spanned cells are common in tables, and they are a significan...
Vanessa Long, Robert Dale, Steve Cassidy
LCPC
2005
Springer
16 years 9 days ago
A Systematic Approach to Model-Guided Empirical Search for Memory Hierarchy Optimization
The goal of this work is a systematic approach to compiler optimization for simultaneously optimizing across multiple levels of the memory hierarchy. Our approach combines compiler...
Chun Chen, Jacqueline Chame, Mary W. Hall, Kristin...