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IJCAI
2007
13 years 6 months ago
Collapsed Variational Dirichlet Process Mixture Models
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...
Kenichi Kurihara, Max Welling, Yee Whye Teh
IJCAI
2007
13 years 6 months ago
Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
Coronary Heart Disease can be diagnosed by measuring and scoring regional motion of the heart wall in ultrasound images of the left ventricle (LV) of the heart. We describe a comp...
Maleeha Qazi, Glenn Fung, Sriram Krishnan, R&oacut...
IJCAI
2007
13 years 6 months ago
Managing Domain Knowledge and Multiple Models with Boosting
We present MBoost, a novel extension to AdaBoost that extends boosting to use multiple weak learners explicitly, and provides robustness to learning models that overfit or are po...
Peng Zang, Charles Lee Isbell Jr.
IJCAI
2007
13 years 6 months ago
Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-Suppressed BDDs
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
Shin-ichi Minato, Ken Satoh, Taisuke Sato
IJCAI
2007
13 years 6 months ago
Subtree Mining for Question Classification Problem
Minh Le Nguyen, Nguyen Thanh Tri, Akira Shimazu
IJCAI
2007
13 years 6 months ago
Heuristic Selection of Actions in Multiagent Reinforcement Learning
This work presents a new algorithm, called Heuristically Accelerated Minimax-Q (HAMMQ), that allows the use of heuristics to speed up the wellknown Multiagent Reinforcement Learni...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
IJCAI
2007
13 years 6 months ago
A Factor Graph Model for Software Bug Finding
Automatic tools for finding software errors require knowledge of the rules a program must obey, or “specifications,” before they can identify bugs. We present a method that ...
Ted Kremenek, Andrew Y. Ng, Dawson R. Engler
IJCAI
2007
13 years 6 months ago
Scalable Diagnosability Checking of Event-Driven Systems
Diagnosability of systems is an essential property that determines how accurate any diagnostic reasoning can be on a system given any sequence of observations. Generally, in the l...
Anika Schumann, Yannick Pencolé
IJCAI
2007
13 years 6 months ago
Dances with Words
Carlo Strapparava, Alessandro Valitutti, Oliviero ...
IJCAI
2007
13 years 6 months ago
WiFi-SLAM Using Gaussian Process Latent Variable Models
WiFi localization, the task of determining the physical location of a mobile device from wireless signal strengths, has been shown to be an accurate method of indoor and outdoor l...
Brian Ferris, Dieter Fox, Neil D. Lawrence