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IJCAI
2007
14 years 1 months ago
A Size-Based Qualitative Approach to the Representation of Spatial Granularity
A local spatial context is an area currently under consideration in a spatial reasoning process. The boundary between this area and the surrounding space together with the spatial...
Hedda Rahel Schmidtke, Woontack Woo
IJCAI
2007
14 years 1 months ago
Learning Semantic Descriptions of Web Information Sources
The Internet is full of information sources providing various types of data from weather forecasts to travel deals. These sources can be accessed via web-forms, Web Services or RS...
Mark James Carman, Craig A. Knoblock
IJCAI
2007
14 years 1 months ago
Representing Kriegspiel States with Metapositions
Paolo Ciancarini, Gian Piero Favini
IJCAI
2007
14 years 1 months ago
Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model
Narayanan U. Edakunni, Stefan Schaal, Sethu Vijaya...
IJCAI
2007
14 years 1 months ago
Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area under the ROC Curve
: This article presents the method of Support Vectors Machines (SVM) for predicting probability of survival in critically ill patients by using Platt’s method to fit a sigmoid1 ....
Oscar Luaces, José Ramón Quevedo, Fr...
IJCAI
2007
14 years 1 months ago
Symmetry Breaking in Quantified Boolean Formulae
Gilles Audemard, Saïd Jabbour, Lakhdar Sais
IJCAI
2007
14 years 1 months ago
Dynamically Weighted Hidden Markov Model for Spam Deobfuscation
Spam deobfuscation is a processing to detect obfuscated words appeared in spam emails and to convert them back to the original words for correct recognition. Lexicon tree hidden M...
Seunghak Lee, Iryoung Jeong, Seungjin Choi
IJCAI
2007
14 years 1 months ago
Probabilistic Consistency Boosts MAC and SAC
Constraint Satisfaction Problems (CSPs) are ubiquitous in Artificial Intelligence. The backtrack algorithms that maintain some local consistency during search have become the de ...
Deepak Mehta, Marc R. C. van Dongen
IJCAI
2007
14 years 1 months ago
Graph-Based Semi-Supervised Learning as a Generative Model
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...
Jingrui He, Jaime G. Carbonell, Yan Liu 0002