Sciweavers

ICWE
2007
Springer
14 years 6 months ago
The Use of a Bayesian Network for Web Effort Estimation
The objective of this paper is to describe the use of a probabilistic approach to Web effort estimation by means of a Bayesian Network. A Bayesian Network is a model that embodies ...
Emilia Mendes
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
14 years 6 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
ICDAR
2007
IEEE
14 years 6 months ago
A Shared Parts Model for Document Image Recognition
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...
M. Das Gupta, P. Sarkar
ICDAR
2007
IEEE
14 years 6 months ago
A Bayesian Network Approach to Mode Detection for Interactive Maps
This paper describes a mode detection system for online pen input that employs a Bayesian network to combine classification results and context information. Previous monolithic c...
Don Willems, Louis Vuurpijl
HICSS
2007
IEEE
97views Biometrics» more  HICSS 2007»
14 years 6 months ago
Decision Support in Health Care via Root Evidence Sampling
— Bayesian networks play a key role in decision support within health care. Physicians rely on Bayesian networks to give medical treatment, generate what-if scenarios, and other ...
Benjamin B. Perry, Eli Faulkner
IEEEARES
2008
IEEE
14 years 6 months ago
A Bayesian Approach for on-Line Max Auditing
In this paper we propose a method for on-line max auditing of dynamic statistical databases. The method extends the Bayesian approach presented in [2], [3] and [4] for static data...
Gerardo Canfora, Bice Cavallo
ICRA
2008
IEEE
208views Robotics» more  ICRA 2008»
14 years 6 months ago
Unsupervised body scheme learning through self-perception
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
Jürgen Sturm, Christian Plagemann, Wolfram Bu...
SUM
2009
Springer
14 years 6 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
15 years 16 days ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
WWW
2005
ACM
15 years 24 days ago
Association search in semantic web: search + inference
Association search is to search for certain instances in semantic web and then make inferences from and about the instances we have found. In this paper, we propose the problem of...
Bangyong Liang, Jie Tang, Juan-Zi Li