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Representing Small Group Evolution
(2009-03-30)
Understanding the dynamics of network evolution rests in part on the representation chosen to characterize the evolutionary process. We offer a simple, three-parameter representation based on subgraphs that capture three ...
Understanding and Supporting Directed Content Sharing on the Web
(2009-10-07)
To find interesting, personally relevant web content, we often rely on friends and colleagues to pass links along as they encounter them. In this paper, we study and augment link-sharing via e-mail, the most popular means ...
A Bayesian inference theory of attention: neuroscience and algorithms
(2009-10-03)
The past four decades of research in visual neuroscience has generated a large and disparate body of literature on the role of attention [Itti et al., 2005]. Although several models have been developed to describe specific ...
Whanaungatanga: Sybil-proof routing with social networks
(2009-09-24)
Decentralized systems, such as distributed hash tables, are subject to the Sybil attack, in which an adversary creates many false identities to increase its influence. This paper proposes a routing protocol for a distributed ...
Efficient POMDP Forward Search by Predicting the Posterior Belief Distribution
(2009-09-23)
Online, forward-search techniques have demonstrated promising results for solving problems in partially observable environments. These techniques depend on the ability to efficiently search and evaluate the set of beliefs ...
Iterative Projection Methods for Structured Sparsity Regularization
(2009-10-14)
In this paper we propose a general framework to characterize and solve the optimization problems underlying a large class of sparsity based regularization algorithms. More precisely, we study the minimization of learning ...
Code for LOLCAT Method (Variant of Gillespie Algorithm)
(2009-09-04)
This code and data is publicly listed code for the LOLCAT Method developed by Sagar Indurkhya and Jacob Beal, in the paper: "Reaction factoring and bipartite update graphs accelerate the Gillespie algorithm for large-scale ...
Attentive processing improves object recognition
(2009-10-02)
The human visual system can recognize several thousand object categories irrespective of their position and size. This combination of selectivity and invariance is built up gradually across several stages of visual processing. ...
Notes on the Shannon Entropy of the Neural Response
(2009-10-09)
In these notes we focus on the concept of Shannon entropy in an attempt to provide a systematic way of assessing the discrimination properties of the neural response, and quantifying the role played by the number of layers ...
Finding aircraft collision-avoidance strategies using policy search methods
(2009-09-12)
A progress report describing the application of policy gradient and policy search by dynamic programming methods to an aircraft collision avoidance problem inspired by the requirements of next-generation TCAS.