We reported a study that analyzes collaborative information behavior of small groups in an online math discourse community. Taking group as the unit of analysis, we analyzed the so...
Random Indexing is a vector space technique that provides an efficient and scalable approximation to distributional similarity problems. We present experiments showing Random Inde...
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a s...
Classical propositional STRIPSplanning is nothing but the searchfor a path in the state-transition graph induced by the operators in the planning problem. Whatmakes the problem ha...
Information Extraction (IE) systems are commonly based on pattern matching. Adapting an IE system to a new scenario entails the construction of a new pattern base--a timeconsuming...