It looks like the msgpack spec does not differentiate between a raw binary data buffer and text strings. This causes some problems in all high-level language wrappers, because most high-level languages have different data types for text strings and binary buffers. For instance, the objective C ...
In addition to expressing pure maps, you can use fast collective communication operations between devices:from functools import partial from jax import lax @partial(pmap, axis_name='i') def normalize(x): return x / lax.psum(x, 'i') print(normalize(jnp.arange(4.))) # prints [0. ...
The duration between testing days was shorter for the SI group (mean = 9.3, SD = 2.9) than for the SA group (mean = 11.5, SD = 3.8; t54 = 2.46, p = .017, d = 0.66). Participants were remunerated $50. Clinical Interviews Before administering interviews, diagnosticians received ...
The area under the receiver operating characteristic curve (AUC) of the model was 0.900 (95% CI: 0.864–0.937, p<0.001), and the McFadden's pseudo- R-squared was 0.709. For internal validation, the AUC between probable SSD and unmatched MD was 0.930 (95% CI: 0.910–0.950, p<0.001)....
1. Distinguishing between artificial and human text To gain empirical insights into people's ability to discern artificial from human content, we draw on the famous Turing Test (Saygin, Chaminade, Ishiguro, Driver, & Frith, 2012;Turing, 1950). Based on a thought experiment, Turing proposed it...
In addition to expressing pure maps, you can use fast collective communication operations between devices:from functools import partial from jax import lax @partial(pmap, axis_name='i') def normalize(x): return x / lax.psum(x, 'i') print(normalize(jnp.arange(4.))) # prints [0. ...
In addition to expressing pure maps, you can use fast collective communication operations between devices:from functools import partial from jax import lax @partial(pmap, axis_name='i') def normalize(x): return x / lax.psum(x, 'i') print(normalize(jnp.arange(4.))) # prints [0. ...
This process is implemented for both malware and legitimate samples, and the only common API calls between both classes are taken into account. At the end of this process, 167 API calls remained. To generate the features vector, the API calls were formatted as a bag of words. Therefore, ...
applied sciences Article Features Engineering to Differentiate between Malware and Legitimate Software Ammar Yahya Daeef 1 , Ali Al-Naji 2,3,* , Ali K. Nahar 4 and Javaan Chahl 3 1 Technical Institute for Administration, Middle Technical University, Baghdad 10074, Iraq 2 Electrical Engineering ...