We present a probabilistic extension of logic programs under the stable model semantics, inspired by the concept of Markov Logic Networks. The proposed language takes advantage of...
Commitment protocols provide an effective formalism for the regulation of agent interaction. Although existing work mainly focus on the design-time development of static commitmen...
Operator cost partitioning is a well-known technique to make admissible heuristics additive by distributing the operator costs among individual heuristics. Planning tasks are usua...
Latent author attribute prediction in social media provides a novel set of conditions for the construction of supervised classification models. With individual authors as trainin...
In this paper, we design a distributed mechanism that is able to create a social convention within a large convention space for multiagent systems (MAS) operating on various topol...
Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Baz...
Transcribed speech is a critical resource for building statistical speech recognition systems. Recent work has looked towards soliciting transcriptions for large speech corpora fr...
The global financial crisis occurred in 2008 and its contagion to other regions, as well as the long-lasting impact on different markets, show that it is increasingly important t...
The potential benefits of mining social media to learn about adverse drug reactions (ADRs) are rapidly increasing with the increasing popularity of social media. Unknown ADRs hav...
Abstract—I present the outline for my dissertation work, Social Hierarchical Learning (SHL). SHL leverages and extends the capabilities of state-of-the-art hierarchical learning ...
The recent rise of smart applications has drawn interest to logical reasoning over data streams. Different query languages and stream processing/reasoning engines were proposed. H...
Harald Beck, Minh Dao-Tran, Thomas Eiter, Michael ...