We present electronic ground and excited state properties of a new chemical space dataset, suggest strategy for efficient machine learning modeling spectral intensities.

One of the important issues in speech emotion recognizing is selecting of appropriate feature sets in order to improve the detection rate and classification accuracy. In last studies researchers tried to select the appropriate features for classification by using the selecting and reducing the space of features methods, such as the Fisher and PCA. In this research, a hybrid evolutionary algorit...

This paper presents an approach for the Opinion Finding task at TREC 2008 Blog Track. For the Ad-hoc Retrieval subtask, we adopt language model to retrieve relevant documents. For the Opinion Retrieval subtask, we propose a hybrid model of lexicon-based approach and machine learning approach for estimating and ranking the opinionated documents. For the Polarized Opinion Retrieval subtask, we em...

Suppression of head-tail effects on turn-by-turn BPM measurements V. Lebedev The study carried out for BLT proved that the head-tail motion excited by the machine chromaticity could seriously affect the performance of turn-by-turn BPM measurements. In this paper I consider how this problem can be alleviated for new Tevatron BPMs. Let us consider the case when the bunch, which initially was on t...

Hybrid algorithm based on Particle Swarm Optimization (PSO) and Simulated annealing (SA) is proposed, to solve Flexible Job Shop Scheduling with five objectives to be minimized simultaneously: makespan, maximal machine workload, total workload, machine idle time & total tardiness. Rescheduling strategy used to shuffle workload once the machine breakdown takes place in proposed algorithm. The hy...