16 Result(s)
within
English
Artificial Intelligence
Data Mining and Knowledge Discovery
Yu. Li
Chapter
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Chapter and Conference Paper
Enumerating Unlabeled and Root Labeled Trees for Causal Model Acquisition
To specify a Bayes net (BN), a conditional probability table (CPT), often of an effect conditioned on its n causes, needs to be assessed for each node. It generally has the complexity exponential on n. The non-im...
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Chapter and Conference Paper
Libraries in a Digital Frontier: Preserving Chinese Canadian Cultural Heritage
As a three-year community-based research project at the University of British Columbia, Chinese Canadian Stories: Uncommon Histories from a Common Past is government grant-funded project by the Community Historic...
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Chapter and Conference Paper
Multi-Level Genetic-Fuzzy Mining with a Tuning Mechanism
In this paper, a two-stage multi-level genetic-fuzzy mining approach is proposed. In the first stage, the multi-level genetic-fuzzy mining (MLGFM) is utilized to derive membership functions of generalized item...
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Chapter and Conference Paper
Fuzzy Association Rule Mining with Type-2 Membership Functions
In this paper, a fuzzy association rule mining approach with type-2 membership functions is proposed for dealing with data uncertainty. It first transfers quantitative values in transactions into type-2 fuzzy ...
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Chapter and Conference Paper
Oriented Online Route Recommendation for Spatial Crowdsourcing Task Workers
Emerging spatial crowdsourcing platforms enable the workers (i.e., crowd) to complete spatial crowdsourcing tasks (like taking photos, conducting citizen journalism) that are associated with rewards and tagged...
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Chapter and Conference Paper
A Segmented Artificial Bee Colony Algorithm Based on Synchronous Learning Factors
In this paper, we propose a segmented ABC algorithm based on synchronous learning factors (SABC). For the problem of inferior local search ability and low convergence precision in the artificial bee colony (AB...
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Chapter and Conference Paper
Predicting Clinical Outcomes of Alzheimer’s Disease from Complex Brain Networks
Brain network modelling has been shown effective to study the brain connectivity in Alzheimer’s disease (AD). Although the topological features of AD affected brain networks have been widely investigated, com...
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Chapter and Conference Paper
Estimating Interactions of Functional Brain Connectivity by Hidden Markov Models
The brain activity reflected by functional magnetic resonance imaging (fMRI) is temporally organized as a combination of sensory inputs from environment and its own spontaneous activity. However, temporal patt...
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Chapter and Conference Paper
L2R-QA: An Open-Domain Question Answering Framework
Open-domain question answering has always being a challenging task. It involves information retrieval, natural language processing, machine learning, and so on. In this work, we try to explore some comparable ...
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Chapter and Conference Paper
An Advanced Least Squares Twin Multi-class Classification Support Vector Machine for Few-Shot Classification
In classification tasks, deep learning methods yield high performance. However, owing to lack of enough annotated data, deep learning methods often underperformed. Therefore, we propose an advance version of l...
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Chapter and Conference Paper
Data Augmentation for Deep Learning of Judgment Documents
With the increasing number of machine learning parameters, the requirements on data quantity are getting higher and higher to train a good model. The choice of methods and the optimization of parameters can im...
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Chapter and Conference Paper
Using Case Facts to Predict Penalty with Deep Learning
With the promotion of Wisdom Court construction and the increasing completeness of judicial big data, the combination of judicial and artificial intelligence attracted more and more attention. The Judicial doc...
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Chapter and Conference Paper
Adaptive Flower Pollination Algorithm Based on Chaotic Map
Flower pollination algorithm (FPA) is one of the well-known evolutionary techniques used extensively to solve optimization problems. Despite its efficiency and wide use, the identical search behaviors may lead...
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Chapter and Conference Paper
Application of Polar Code-Based Scheme in Cloud Secure Storage
In view of the fact that the quantum computer attack is not considered in the cloud storage environment, this paper selects the code-based public key encryption scheme as the security protection measure in the...
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Chapter and Conference Paper
Research on Real-Time Monitoring Method of Communication Network Blocking Based on Cloud Computing
Aiming at the problems that the traditional method has long response time to communication network congestion monitoring and the detection effect is not ideal, a real-time monitoring method based on cloud comp...
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Chapter and Conference Paper
User Adaptive Language Learning Chatbots with a Curriculum
Along with the development of systems for natural language understanding and generation, dialog systems have been widely adopted for language learning and practicing. Many current educational dialog systems p...
