In Open Multi-Agent Systems (OMAS), deciding with whom to interact is a particularly difficult task for an agent, as repeated interactions with the same agents are scarce, and rep...
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
We present methods for training high quality object detectors
very quickly. The core contribution is a pair of fast
training algorithms for piece-wise linear classifiers, which
...
We propose a technique for measuring the structural similarity of semistructured documents based on entropy. After extracting the structural information from two documents we use ...
In this paper, we will address term translation extraction from indexed aligned parallel corpora, by using a couple of association measures combined by a voting scheme, for scaling...