Conventional machine learning (ML) relies heavily on manual design from experts to decide tasks, data, models, optimization algorithms, and evaluation metrics, which is labor-intensive, time-consuming, cannot learn autonomously like humans. In education science, self-directed learning, where human learners select tasks materials their own without requiring hands-on guidance, has been shown be m...

Abstract A significant set of epistemic and political transformations are taking place as states societies begin to understand themselves their problems through the paradigm deep neural network algorithms. machine learning order does not merely change technologies governance, but is itself a reordering politics, what can be. When algorithmic systems reduce pluridimensionality politics output mo...

Machine learning techniques have been proposed to optimize the databases. For example, traditional empirical database optimization (e.g., cost estimation, join order selection, knob tuning, index and view advisor) cannot meet high-performance requirement for large-scale instances, various applications diversified users, especially on cloud. Fortunately, machine based can alleviate this problem ...

We present a machine learning approach, based on the genetic algorithms (GA), that can be used to reconstruct inflationary potential directly from cosmological data. create pipeline consisting of GA, primordial code and Boltzmann calculate theoretical predictions, cosmic microwave background (CMB) As proof concept, we apply our methodology Planck CMB data explore functional space single-field p...

In this paper, a novel approach proposed for structural damage detection from limited number of sensors using extreme learning machine (ELM). As the number of sensors used to measure modal data is normally limited and usually are less than the number of DOFs in the finite element model, the model reduction approach should be used to match with incomplete measured mode shapes. The second-order a...

Colorectal cancer (CRC) is one of the leading cancers in the world and early-screening is still the best method of cancer patient survival. However, colonoscopy as the current gold standard is not without flaws and an emerging technique called surface-enhanced Raman spectroscopy (SERS) coupled with machine learning is a possible candidate that could be applied in parallel with colonoscopy. This...

Colorectal cancer (CRC) is one of the leading cancers in the world and early-screening is still the best method of cancer patient survival. However, colonoscopy as the current gold standard is not without flaws and an emerging technique called surface-enhanced Raman spectroscopy (SERS) coupled with machine learning is a possible candidate that could be applied in parallel with colonoscopy. This...