17 Result(s)
within
Yi**ang Chen
English
Artificial Intelligence
Data Mining and Knowledge Discovery
Mathematical Logic and Formal Languages
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Chapter and Conference Paper
Effects of Fairness and Explanation on Trust in Ethical AI
AI ethics has been a much discussed topic in recent years. Fairness and explainability are two important ethical principles for trustworthy AI. In this paper, the impact of AI explainability and fairness on us...
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Chapter and Conference Paper
Concept Focus: Semantic Meta-Data for Describing MOOC Content
MOOCs promised to herald a new age of open education. However, efficient access to MOOC content is still hard, thus unnecessarily complicating many use cases like efficient re-use of material, or tailored acce...
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Chapter and Conference Paper
Discovering Causal Structures from Time Series Data via Enhanced Granger Causality
Granger causality has been applied to explore predictive causal relations among multiple time series in various fields. However, the existence of non-stationary distributional changes among the time series var...
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Chapter and Conference Paper
Quantified Coalition Logic for BDI-Agents: Completeness and Complexity
This paper introduces a multi-dimensional modal logic of Quantified Coalition Logic of Beliefs, Desires and Intentions (QCLBDI) to reason about how agents’ mental attitudes evolve by cooperation in game-like m...
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Chapter and Conference Paper
Three Granular Structure Models in Graphs
The granular structures emphasize a multilevel and multiview understanding of problems. This paper gives a study on how to granulate a graph, and how to extract the granular structures in the graph. There are ...
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Chapter and Conference Paper
Granular Structures in Graphs
The granular structures emphasize a multilevel and multiview understanding of problems. This paper focuses on a study of how to granulate a graph, and how to extract the granular structures in the graph. The g...
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Chapter and Conference Paper
An Improved Two-Stage Camera Calibration Method Based on Particle Swarm Optimization
According to the calibration of binocular vision, an improved two-stage camera calibration method involved with multi-distortion coefficients is introduced in this paper. At the first stage, the 3D points’ coo...
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Chapter and Conference Paper
Combined Analysis of Resting-State fMRI and DTI Data Reveals Abnormal Development of Function-Structure in Early-Onset Schizophrenia
A combined analysis by integrating the resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) is presented in this paper to investigate the structure-function relationshi...
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Chapter and Conference Paper
Discriminant Analysis Methods for Microarray Data Classification
The studies of DNA Microarray technologies have produced high-dimensional data. In order to alleviate the “curse of dimensionality” and better analyze these data, many linear and non-linear dimension reduction...
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Chapter and Conference Paper
Experiments with Rough Set Approach to Face Recognition
The article reports our experiences with the application of the hierarchy of probabilistic decision tables to face recognition. The methodology underlying the classifier development for our experiments is the ...
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Chapter and Conference Paper
Locality Spectral Clustering
In this paper, we propose a novel spectral clustering algorithm called: Locality Spectral Clustering (Lsc) which assumes that each data point can be linearly reconstructed from its local neighborhoods. The Lsc al...
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Chapter and Conference Paper
Homomorphisms Between Relation Information Systems
Information system is one of the important mathematical models in the field of artificial intelligence. The concept of homomorphism is very useful to study the communication between two information systems. In...
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Chapter and Conference Paper
An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams
One of most important algorithms for mining data streams is VFDT. It uses Hoeffding inequality to achieve a probabilistic bound on the accuracy of the tree constructed. Gama et al. have extended VFDT in two di...
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Chapter and Conference Paper
Attribute Reduction Based on Fuzzy Rough Sets
In T −fuzzy rough sets a fuzzy T −similarity relation is employed to describe the similar degree between two objects and to construct lower and upper approximations for arbitrary fuzzy sets. The existing research...
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Chapter and Conference Paper
Constraint-Based Mining of Web Page Associations
The use of association rule mining carries the attendant challenge of focusing on appropriate data subsets so as to reduce the volume of association rules produced. The intent is to heuristically identify “int...
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Chapter and Conference Paper
Acquiring Translational Equivalence from a Japanese-Chinese Parallel Corpus
This paper presents our work on acquiring translational equivalence from a Japanese-Chinese parallel corpus. We follow and extend existing word alignment techniques, including statistical model and heuristic m...
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Chapter and Conference Paper
Chinese Chunking with Tri-training Learning
This paper presents a practical tri-training method for Chinese chunking using a small amount of labeled training data and a much larger pool of unlabeled data. We propose a novel selection method for tri-trai...
