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Used the wayback machine to check out Taylor’s old MySpace, here are some cute snapshots! (About section + more) Official Social Media ☑️
arxiv.org/abs/1809.00315v1
A popular application of machine translation (MT) is gisting: MT is consumed as is to make sense of text in a foreign language. Evaluation of the usefulness of MT for gisting is surprisingly uncommon. The classical method uses reading comprehension q...
github.com/rchavezj/Cracking_The_Machine_Learning_Interview
(Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on…
arxiv.org/abs/1807.10481v1
Spectrum sharing is one of the promising solutions to meet the spectrum demand in 5G networks that results from the emerging services like machine to machine and vehicle to infrastructure communication. The idea is to allow a set of entities access t...
arxiv.org/abs/1802.01168v3
Bibliographic reference parsing refers to extracting machine-readable metadata, such as the names of the authors, the title, or journal name, from bibliographic reference strings. Many approaches to this problem have been proposed so far, including r...
www.bing.com/ck/a?!&&p=18ca2c1607e464b0d9ec8570bbc480353db8f6958a5f8ee9d0bdb909f6d5a4faJmltdHM9MTc3MjY2ODgwMA&ptn=3&ver=2&hsh=4&fclid=3e6ef1e6-c65a-666a-32ef-e6f2c7a76740&u=a1aHR0cHM6Ly9naXRodWIuY29tL2s0eXQzeC92aWRlbzJ4&ntb=1
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
arxiv.org/abs/2305.07332v1
The rapidly growing traffic demands in fiber-optical networks require flexibility and accuracy in configuring lightpaths, for which fast and accurate quality of transmission (QoT) estimation is of pivotal importance. This paper introduces a machine l...
arxiv.org/abs/1506.09208v2
We consider the following scheduling problem. There is a single machine and the jobs will arrive for completion online. Each job j is preemptive and, upon its arrival, its other characteristics are immediately revealed to the machine: the deadline re...
arxiv.org/abs/2212.12329v2
This work presents a machine learning approach to optimize the energy efficiency (EE) in a multi-cell wireless network. This optimization problem is non-convex and its global optimum is difficult to find. In the literature, either simple but suboptim...
www.bing.com/ck/a?!&&p=e998e3a5bf9f8d2174c21737c147e60e055d7b199cccba19bd36764bda845ffeJmltdHM9MTc3MjY2ODgwMA&ptn=3&ver=2&hsh=4&fclid=0020c8d9-3b54-6e0c-3ad8-dfcd3af56fc6&u=a1aHR0cHM6Ly9naXRodWIuY29tL2s0eXQzeC92aWRlbzJ4&ntb=1
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
arxiv.org/abs/2012.04056v2
Advances in NLP have yielded impressive results for the task of machine reading comprehension (MRC), with approaches having been reported to achieve performance comparable to that of humans. In this paper, we investigate whether state-of-the-art MRC...
en.wikipedia.org/wiki/Jacquard_machine
The Jacquard machine (French: [ʒakaʁ]) is a device fitted to a loom that simplifies the process of manufacturing textiles with such complex patterns as
www.bing.com/ck/a?!&&p=82deb495af66bdfd4e4b75822282bbf94ee35f1dc3c1585ed496945acd52fbeeJmltdHM9MTc3MjY2ODgwMA&ptn=3&ver=2&hsh=4&fclid=05918997-e18f-62a4-2594-9e83e024638d&u=a1aHR0cHM6Ly93d3cuY2l0YXRpb25tYWNoaW5lLm5ldC8&ntb=1
Citation Machine® helps students and professionals properly credit the information that they use. Cite sources in APA, MLA, Chicago, Turabian, and Harvard for free.
www.bing.com/ck/a?!&&p=ed41b2c2142e7af620ac96aa868ac6325006124c2f1fbd036d9524ab936bcfffJmltdHM9MTc3MjY2ODgwMA&ptn=3&ver=2&hsh=4&fclid=313045f0-d4ab-6997-2317-52e4d56b68ac&u=a1aHR0cHM6Ly9naXRodWIuY29tL2s0eXQzeC92aWRlbzJ4&ntb=1
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
www.bing.com/ck/a?!&&p=40d5d739ece92ef4bb21d8dc24854dd3ad9abf0f9dff5f341201f16e32e3e263JmltdHM9MTc3MjY2ODgwMA&ptn=3&ver=2&hsh=4&fclid=0d36a413-acfa-602b-2661-b307adda61d1&u=a1aHR0cHM6Ly9naXRodWIuY29tL2s0eXQzeC92aWRlbzJ4&ntb=1
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
github.com/Srishtichauhan5359/HeartHealthPredictor
The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical…
github.com/ammarmahmood1999/HeartHealthPrediction
The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical…
arxiv.org/abs/2201.05070v1
The paper quantifies the impact of race, poverty, politics, and age on COVID-19 vaccination rates in counties in the continental US. Both, OLS regression analysis and Random Forest machine learning algorithms are applied to quantify factors for count...
arxiv.org/abs/2411.16795v3
Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used for prototyping and data analysis. However, due to their depen...
github.com/zeba-source/RAKT-Machine-Learning-Model
A AI-Powered Blood Donation Platform where a patient can find it's perfect donor (⭐ 0)
