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IJCAI
2003
14 years 1 months ago
A Statistical Model for Flexible String Similarity
This paper proposes a statistical model for defining string similarity. The proposed model is based on hidden Markov model and defines string similarity as the combination of simi...
Atsuhiro Takasu
IJCAI
2003
14 years 1 months ago
Qualitatively Faithful Quantitative Prediction
Dorian Suc, Daniel Vladusic, Ivan Bratko
IJCAI
2003
14 years 1 months ago
Integrity and Change in Modular Ontologies
The benefits of modular representations arc well known from many areas of computer science. In this paper, we concentrate on the benefits of modular ontologies with respect to loc...
Heiner Stuckenschmidt, Michel C. A. Klein
IJCAI
2003
14 years 1 months ago
Getting Serious about the Development of Computational Humor
Society needs humor, not just for entertainment. In the Web age, presentations become more and more flexible and personalized and they will require hu­ mor contributions for elec...
Oliviero Stock, Carlo Strapparava
IJCAI
2003
14 years 1 months ago
Exploring Unknown Environments with Mobile Robots using Coverage Maps
In this paper we introduce coverage maps as a new way of representing the environment of a mobile robot. Coverage maps store for each cell of a given grid a posterior about the am...
Cyrill Stachniss, Wolfram Burgard
IJCAI
2003
14 years 1 months ago
Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
Nathan Sprague, Dana H. Ballard
IJCAI
2003
14 years 1 months ago
An Integrated Multilevel Learning Approach to Multiagent Coalition Formation
In this paper we describe an integrated multilevel learning approach to multiagent coalition formation in a real-time environment. In our domain, agents negotiate to form teams to...
Leen-Kiat Soh, Xin Li
IJCAI
2003
14 years 1 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
IJCAI
2003
14 years 1 months ago
Comparing image-based localization methods
This paper compares alternative approaches to pose estimation using visual cues from the environment. We examine approaches that derive pose estimates from global image properties...
Robert Sim, Gregory Dudek