We present a fast compression and decompression technique for natural language texts. The novelty is that the exact search can be done on the compressed text directly, using any k...
Edleno Silva de Moura, Gonzalo Navarro, Nivio Zivi...
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
Abstract. Solving inductive queries which have to return complete collections of patterns satisfying a given predicate has been studied extensively the last few years. The specific...
This article addresses visualization of deformation or shape differences between bones while conventional visualization techniques are often about a single bone such as its 3D rec...