3.2 Long-Range Dependency Long-range dependency (LRD) is a measure of decay of statistical dependency. It should be noted that this decay is slower than the decay for an exponential function. From a financial economic prospective, this measure can be an autocorrelation function of lags of a ti...
It is not clear whether those parameters generalize well across different tasks (other than language modeling) or similar to the learning rate, make the training also very brittle. It would be interesting to probe the regular memory and compressed memory to analyze what kind of inf...
It is not clear whether those parameters generalize well across different tasks (other than language modeling) or similar to the learning rate, make the training also very brittle. It would be interesting to probe the regular memory and compressed memory to analyze what kind of informa...
key1: the convolution-based light-weight models are weak in modeling long-range dependency, which limits further performance improvement. key2: transformer-like models are introduced tocomputer vision, in which the self-attention module can capture the global information. But, utilizing vanilla self-...
1A). To quantitatively characterize the independent contribution of each of these two components, we simulated contracting cells embedded within 2D fibrous networks using finite element discrete modeling, quantified the change in the ECM density between neighboring pairs and compared it to single cells ...
Relational Dependency Networks Recent work on graphical models for relational data has demonstrated significant improvements in classification and inference when models represent the dep... J Neville,D Jensen - 《Journal of Machine Learning Research》 被引量: 421发表: 2007年 Lazy propagation: A junctio...
The modeling phase was followed by system design, hardware installation and software development, system fabrication, prototyping, and GUI integration. The system design was divided into two parts: design of the system enclosure and design of the multi-sensing unit. Thereafter, the testing and ...
In particular, the fiow control mechanisms of TCP seem to maintain the long-range dependency structure induced by heavy-tailed file size distributions, a phenomenon which is not observed to the same extent when using the non-fiow-controlled UDP transport protocol (see [15]). In fact, it is...
It is not clear whether those parameters generalize well across different tasks (other than language modeling) or similar to the learning rate, make the training also very brittle. It would be interesting to probe the regular memory and compressed memory to analyze what kind of informat...
It is not clear whether those parameters generalize well across different tasks (other than language modeling) or similar to the learning rate, make the training also very brittle. It would be interesting to probe the regular memory and compressed memory to analyze what kind of inform...