20 Result(s)
within
English
Computer Science
Information Storage and Retrieval
M. **gliang
Conference Paper
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Chapter and Conference Paper
User Perceptions of a Virtual Human Over Mobile Video Chat Interactions
We believe that virtual humans, presented over video chat services, such as Skype, and delivered using smartphones, can be an effective way to deliver innovative applications where social interactions are impo...
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Chapter and Conference Paper
Discriminative Interpolation for Classification of Functional Data
The modus operandi for machine learning is to represent data as feature vectors and then proceed with training algorithms that seek to optimally partition the feature space
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Chapter and Conference Paper
Spá: A Web-Based Viewer for Text Mining in Evidence Based Medicine
Summarizing the evidence about medical interventions is an immense undertaking, in part because unstructured Portable Document Format (PDF) documents remain the main vehicle for disseminating scientific findin...
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Chapter and Conference Paper
Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries
How many listens will an artist receive on a online radio? How about plays on a YouTube video? How many of these visits are new or returning users? Modeling and mining popularity dynamics of social activity ha...
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Chapter and Conference Paper
Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model
We propose a probabilistic graphical model for predicting student attainment in web-based education. We empirically evaluate our model on a crowdsourced dataset with students and teachers; Teachers prepared le...
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Chapter and Conference Paper
Decision-Theoretic Sparsification for Gaussian Process Preference Learning
We propose a decision-theoretic sparsification method for Gaussian process preference learning. This method overcomes the loss-insensitive nature of popular sparsification approaches such as the Informative Ve...
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Chapter and Conference Paper
From Explicit to Implicit Speech Recognition
We consider the problem of determining the word or concept that a subject holds in their mind prior to the act of speech using only a scalp-recorded electroencephalogram (EEG). Such speech acts are called cove...
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Chapter and Conference Paper
Service Discovery from Observed Behavior while Guaranteeing Deadlock Freedom in Collaborations
Process discovery techniques can be used to derive a process model from observed example behavior (i.e., an event log). As the observed behavior is inherently incomplete and models may serve different purposes...
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Chapter and Conference Paper
Human-Robotic Collaborative Intelligent Control for Reaching Performance
In most human-robot interfaces, the user completely controls the robot that operates as a passive tool without adaptation capabilities. However, a synergetic human-robot interface where both agents collaborate...
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Chapter and Conference Paper
Managing Process Model Collections with AProMoRe
As organizations reach higher levels of Business Process Management maturity, they tend to collect numerous business process models. Such models may be linked with each other or mutually overlap, supersede one...
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Chapter and Conference Paper
Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamical systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding probability distribution over th...
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Chapter and Conference Paper
Liquid Course Artifacts Software Platform
Liquid Course Artifacts Software Platform aims to improve social productivity and enhance interactive experience for teaching and collaborating by using suppliment materials such as slides, exercises, audios, ...
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Chapter and Conference Paper
Incorporating Expectations as a Basis for Business Service Selection
The collaborative creation of value is the central tenet of services science. In particular, then, the quality of a service encounter would depend on the mutual expectations of the participants. Specifically, ...
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Chapter and Conference Paper
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding probability distribution over the ...
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Chapter and Conference Paper
Leveraging Higher Order Dependencies between Features for Text Classification
Traditional machine learning methods only consider relationships between feature values within individual data instances while disregarding the dependencies that link features across instances. In this work, w...
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Chapter and Conference Paper
Distributed XML Processing
XML is commonly used to store data and to exchange it between a variety of systems. While centralized querying of XML data is increasingly well understood, the same is not true in a scenario where the data is ...
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Chapter and Conference Paper
Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams
In a typical data stream classification task, it is assumed that the total number of classes are fixed. This assumption may not be valid in a real streaming environment, where new classes may evolve. Tradition...
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Chapter and Conference Paper
NEWS: Bringing Semantic Web Technologies into News Agencies
In the current Information Society, being informed is a basic necessity. As one of the main news bussiness actors, news agencies are required to provide fresh, relevant, high-quality information to their custo...
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Chapter and Conference Paper
Capabilities: Describing What Services Can Do
The ability of agents and services to automatically locate and interact with unknown partners is a goal for both the semantic web and web services. This, “serendipitous interoperability”, is hindered by the la...
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Chapter and Conference Paper
A Study on the Document Zone Content Classification Problem
A document can be divided into zones on the basis of its content. For example, a zone can be either text or non-text. Given the segmented document zones, correctly determining the zone content type is very imp...
