… Machine learning [15], [16] is a field of artificial intelligence … value, we have proposed the
local confidence values to … , where the word pair alignment refers to the alignment of the testing …

… predictions on data, and is an important topic in Artificial Intelligence Technology. Some …
the alignment of images, we build a vector for every pixel with the MIR value and LIR value. To …

… alignment module is adopted to pool the distance matrix at various granularities. Local features
are aligned … , data mining, big data analysis, granu鄄 lar computing, artificial intelligence …

… identified to be correctly aligned (Taiwan), while 852 correctly aligned bilingual pairs were
… The threshold was set at the critical value ≥ 3.84 calculated by the log-likelihood ratio. 394 …

… a larger divergence value, which means that they are actually not very similar. Therefore,
we know that it is necessary to decide a threshold value in the feature alignment procedure to …

… From a service design perspective, our results show that, in order to create and capture
value, firms’ service design principles must be aligned with their innovation portfolio …

… Advances in the model evaluation include fit indices and their corresponding critical values,
… of measurement invariance analysis (eg, alignment and projection method). In addition, …

… WAT naming alignment problem and focus on design of automatic WAT naming alignment
among … WATDIND algorithm can extract node value of WAT data item from existing WAT data …

… averaging with dictionary and alignment (FedCA) algorithm. … value of β cannot make the
local models become aligned, so … Multiple knowledge representation of artificial intelligence. …