Quadratic regression, induction and artificial neural network modeling are applied to a process selected from composite manufacturing. The results show that, while neural networks are a promising new approach,
In addition to phenomena that are genuinely random,we often use randomness when modeling complicated systems 除了真正随机的现象外,我们在建模复杂系统时经常使用随机性 to abstract away those aspects of the phenomenon for which we do not have useful simple models. 将我们没有有用的简单模型的现象的那些...
In evolving complex systems such as air traffic and social organisations, collective effects emerge from their many components’ dynamic interactions. While the dynamic interactions can be represented by temporal networks with nodes and links that change
Our method for modeling dependencies is simply an extension of position independency methods. We evaluate our new scoring function on the real data sets extracted from JASPAR and TRANSFAC data bases, and compare the obtained results with two other well known scoring functions./p pConclusion/p p...
Protein sequence motifs are patterns of residues with different structural and/or functional features. They were recognized with protein multiple sequence/structural alignment methods as typical conserved signatures of protein families [1]. The general term “protein motif” includes different types of sig...
and that includes information about life-events related to health, education, occupation, income, address and working hours, recorded with day-to-day resolution. We create embeddings of life-events in a single vector space, showing that this embedding space is robust and highly structured. Our mo...
Modeling protein sequences through SeqVec embeddings SeqVec, our ELMo-based implementation, was trained for three weeks on 5 Nvidia Titan GPUs with 12 GB memory each. The model was trained until itsperplexity(uncertainty when predicting the next token) converged at around 10.5 (Additional file1...
3D-NuS: A web server for automated modeling and visualization of non-canonical 3-dimensional nucleic acid structures. J. Mol. Biol. 2017, 429, 2438–2448. [Google Scholar] [CrossRef] Huppert, J.L.; Balasubramanian, S. Prevalence of quadruplexes in the human genome. Nucleic Acids Res. ...
Modeling and aiding discovery processes in mathematics with artificial intelligence and machine learning has a long history. The early efforts towards automated mathematics [1] have been based on a collection of hand-crafted heuristics for the discovery of new mathematical concepts and conjectures related...
Beta amyloid, tau, neuroimaging, and cognition: sequence modeling of biomarkers for Alzheimer’s Diseasedoi:10.1007/s11682-012-9177-0Beta amyloidTauMemoryExecutive FunctionsNeuroimagingAlzheimer’s disease (AD) is associated with a cascade of pathological events involving formation of amyloid-based ...