Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
Although a partially observable Markov decision process (POMDP) provides an appealing model for problems of planning under uncertainty, exact algorithms for POMDPs are intractable...
This paper presents an efficient online mode estimation algorithm for a class of sensor-rich, distributed embedded systems, the so-called hybrid systems. A central problem in dist...
Feng Zhao, Xenofon D. Koutsoukos, Horst W. Haussec...
This paper presents a method for designing bundles in a combinatorial auction protocol that is robust against false-name bids. Internet auctions have become an integral part of El...
Here is discussed how to construct domain ontologies with both taxonomic and non-taxonomic conceptual relationships, exploiting a machinereadable dictionary (MRD) and domain-speci...
This paper presents a new multi-unit auction protocol (IR protocol) that is robust against false-name bids. Internet auctions have become an integral part of Electronic Commerce a...
Psychological studies on teamwork have shown that an effective team often can anticipate information needs of teammates based on a shared mental model. Existing multi-agent models...
John Yen, Jianwen Yin, Thomas R. Ioerger, Michael ...
The AC-3 algorithm is a basic and widely used arc consistency enforcing algorithm in Constraint Satisfaction Problems (CSP). Its strength lies in that it is simple, empirically ef...
In this paper, we present a quantitative comparison between the syntactic structures of three languages: English, Chinese and Korean. This is made possible by first extracting Lex...
Fei Xia, Chung-hye Han, Martha Stone Palmer, Aravi...
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...