We propose a scoring criterion, named mixture-based factorized conditional log-likelihood (mfCLL), which allows for efficient hybrid learning of mixtures of Bayesian networks in binary classification tasks. The learning procedure is decoupled in foreground and background learning, being the foreground the single concept of interest that we want to distinguish from a highly complex background. T...

We study the problem of greedy, single path data propagation in wireless sensor networks, aiming mainly to minimize the energy dissipation. In particular, we first mathematically analyze and experimentally evaluate the energy efficiency and latency of three characteristic protocols, each one selecting the next hop node with respect to a different criterion (minimum projection, minimum angle and...

In order to overcome the limitation of the traditional adaptive Unscented Kalman Filtering (UKF) algorithm in noise covariance estimation for statement and measurement, we propose a hybrid adaptive UKF algorithm based on combining Maximum a posteriori (MAP) criterion and Maximum likelihood (ML) criterion, in this paper. First, to prevent the actual noise covariance deviating from the true value...

This paper introduces hybrid LU–QR algorithms for solving dense linear systems of the form Ax = b. Throughout a matrix factorization, these algorithms dynamically alternate LU with local pivoting and QR elimination steps based upon some robustness criterion. LU elimination steps can be very efficiently parallelized, and are twice as cheap in terms of floating-point operations, as QR steps. Howe...

This paper studies the hybrid flow shop scheduling where the optimization criterion is the minimization of total tardiness. First, the problem is formulated as a mixed integer linear programming model. Then, to solve large problem sizes, an artificial immune algorithm hybridized with a simple local search in form of simulated annealing is proposed. Two experiments are carried out to evaluate th...

Indexing of video soundtracks is an important issue for the navigation in multimedia databases. Based on wordspotting techniques, it should meet very constraining specifications; namely fast response to queries, concise processed speech information for limiting the storage memory, speaker independant mode, easy characterization of any word by its phonemic spelling. A solution based on phonemic ...

OBJECTIVE The purpose was to examine differences between taekwondo kicks and boxing punches in resultant linear head acceleration (RLA), head injury criterion (HIC15), peak head velocity, and peak foot and fist velocities. Data from two existing publications on boxing punches and taekwondo kicks were compared. METHODS For taekwondo head impacts a Hybrid II Crash Dummy (Hybrid II) head was ins...

Abstract Surrogate-assisted evolutionary algorithms have been paid more and attention to solve computationally expensive problems. However, model management still plays a significant importance in searching for the optimal solution. In this paper, new method is proposed measure approximation uncertainty, which differences between solution its neighbour samples decision space, ruggedness of obje...

In this work we show that Gaussian HMMs (GHMMs) are equivalent to GHMM-like Hidden Conditional Random Fields (HCRFs). Hence, improvements of HCRFs over GHMMs found in literature are not due to a refined acoustic modeling but rather come from the more robust formulation of the underlying optimization problem or spurious local optima. Conventional GHMMs are usually estimated with a criterion on s...