We prove convergence in distribution for the profile (the number of nodes at each level), normalized by its mean, of random recursive trees when the limit ratio of the level and ...
The interrelationship between control and communication theory is becoming of fundamental importance in many distributed control systems, such as the coordination of a team of aut...
Ruggero Carli, Fabio Fagnani, Alberto Speranzon, S...
Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, t...
Bayesian model averaging, model selection and their approximations such as BIC are generally statistically consistent, but sometimes achieve slower rates of convergence than other...
We study the convergence and the rate of convergence of a local manifold learning algorithm: LTSA [13]. The main technical tool is the perturbation analysis on the linear invarian...
The decentralized control scheme for routing in current IP networks has been questioned, and a centralized control scheme has been proposed. In this paper, we compare the convergen...
: In multiple research literatures, successful collaborative problem solving and learning is analyzed in terms of success of information sharing. In this paper we report analyses o...
Daniel D. Suthers, Ravikiran Vatrapu, Richard Medi...
Verification of partially synchronous distributed systems is difficult because of inherent concurrency and the potentially large state space of the channels. This paper identifies ...
The well-known and very simple MinOver algorithm is reformulated for incremental support vector classification with and without kernels. A modified proof for its O(t-1/2 ) converge...
We study how decentralized agents can develop a shared vocabulary without global coordination. Answering this question can help us understand the emergence of many communication s...