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On the Influence of Informed Agents on Learning and Adaptation Over Networks

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Wiki-LDA: A Mixed-Method Approach for Effective Interest Mining on Twitter Data

Xiao Pu

Learning analytics (LA) and Educational data mining (EDM) have emerged as promising technology-enhanced learning (TEL) research areas in recent years. Both areas deal with the development of methods that harness educational data sets to support the learnin ...

Scitepress2016

Semiautomatic Annotation of MOOC Forum Posts

Pierre Dillenbourg, Lukasz Kidzinski, Weizhe Liu

Massive online open courses' (MOOCs') students who use discussion forums have higher chances of finishing the course. However, little research has been conducted for understanding the underlying factors. One of the reasons which hinders the analysis is the ...

Springer-Verlag Singapore Pte Ltd2016

On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis

Ali H. Sayed

Part I of this paper examined the mean-square stability and convergence of the learning process of distributed strategies over graphs. The results identified conditions on the network topology, utilities, and data in order to ensure stability; the results ...

IEEE2015

Asynchronous Adaptation and Learning Over Networks—Part II: Performance Analysis

Ali H. Sayed

In Part I of this paper, also in this issue, we introduced a fairly general model for asynchronous events over adaptive networks including random topologies, random link failures, random data arrival times, and agents turning on and off randomly. We perfor ...

Institute of Electrical and Electronics Engineers2015

On the Learning Behavior of Adaptive Networks - Part I: Transient Analysis

Ali H. Sayed

This paper carries out a detailed transient analysis of the learning behavior of multiagent networks, and reveals interesting results about the learning abilities of distributed strategies. Among other results, the analysis reveals how combination policies ...

2015

Asynchronous Adaptation and Learning Over Networks—Part I: Modeling and Stability Analysis

Ali H. Sayed

In this work and the supporting Parts II and III of this paper, also in the current issue, we provide a rather detailed analysis of the stability and performance of asynchronous strategies for solving distributed optimization and adaptation problems over n ...

Institute of Electrical and Electronics Engineers2015

Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments

Wulfram Gerstner, Dane Sterling Corneil

Rodents navigating in a well-known environment can rapidly learn and revisit observed reward locations, often after a single trial. While the mechanism for rapid path planning is unknown, the CA3 region in the hippocampus plays an important role, and emerg ...

Massachusetts Institute of Technology Press2015

Learning by weakly-connected adaptive agents

Ali H. Sayed, Bicheng Ying

In this paper, we examine the learning mechanism of adaptive agents over weakly-connected graphs and reveal an interesting behavior on how information flows through such topologies. The results clarify how asymmetries in the exchange of data can mask local ...

IEEE2015

Semi-automatic annotation of MOOC forum posts

Pierre Dillenbourg, Lukasz Kidzinski, Weizhe Liu

Massive online open courses’ (MOOCs’) students who use discussion forums have higher chances of finishing the course. However, little research has been conducted for understanding the underlying fac- tors. One of the reasons which hinders the analysis is t ...

2015

Transfer Learning through Greedy Subset Selection

Barbara Caputo, Ilja Kuzborskij

In this work we study the binary transfer learning problem involving 10^2 -10^3 sources. We focus on how to select sources from the large pool and how to combine them to yield a good performance on a target task. In particular, we consider the transfer lea ...

Idiap2015