This is a set of lecture notes for an introductory course (advanced undergaduates or the 1st graduate course) on foundations of supervised machine learning (in Portuguese). The topics include: the geometry of the Hamming cube, concentration of measur...
Mixed-integer linear programming (MILP) stands as a notable NP-hard problem pivotal to numerous crucial industrial applications. The development of effective algorithms, the tuning of solvers, and the training of machine learning models for MILP reso...
Understanding collective phenomena in quantum materials from first principles is a promising route toward engineering materials properties on demand and designing new functionalities. This work examines the quantum paraelectric state, an elusive stat...
The isiZulu verb is known for its morphological complexity, which is a subject for on-going linguistics research, as well as for prospects of computational use, such as controlled natural language interfaces, machine translation, and spellcheckers. T...
Experience the thrill of the open road with this stunning machine. This New 2025 Indian Motorcycle Sport Chief RT features the RT trim in the Cruis...
Neural networks promise to bring robust, quantitative analysis to medical fields, but adoption is limited by the technicalities of training these networks. To address this translation gap between medical researchers and neural networks in the field o...
A molecular communication channel is determined by the received signal. Received signal models form the basis for studies focused on modulation, receiver design, capacity, and coding depend on the received signal models. Therefore, it is crucial to m...
In a binary classification problem the feature vector (predictor) is the input to a scoring function that produces a decision value (score), which is compared to a particular chosen threshold to provide a final class prediction (output). Although the...
Low-latency machine code generation (⭐ 4457)
Interact with your La Marzocco espresso machine (⭐ 61)
Interact with your La Marzocco espresso machine (⭐ 60)
LAMAR: Learning Assembly for Machine Architecture and RISC-V (⭐ 64)
State-of-the-art machine learning (ML) models are highly effective in classifying gait analysis data, however, they lack in providing explanations for their predictions. This "black-box" characteristic makes it impossible to understand on which input...
MORNING TODAYthe ultimate news machine Welcome to our International News Coverage, where we bring you the latest headlines, breaking stories, and in-depth an...
The monochromator beamline at the FLASH facility at DESY is the worldwide first XUV monochromator beamline operational on a free electron laser (FEL)source. Being a single-user machine, FLASH demands a high flexibility of the instrumentation to fulfi...
Recent legislation has led to interest in machine unlearning, i.e., removing specific training samples from a predictive model as if they never existed in the training dataset. Unlearning may also be required due to corrupted/adversarial data or simp...
Obesity is a global epidemic causing at least 2.8 million deaths per year. This complex disease is associated with significant socioeconomic burden, reduced work productivity, unemployment, and other social determinants of Health (SDoH) disparities....
MORNING TODAYthe ultimate news machine Welcome to our International News Coverage, where we bring you the latest headlines, breaking stories, and in-depth an...
Machine Learning for Economics (⭐ 93)
How playlists work Our music playlists pull in music from across YouTube by using various signals. These include machine learning, social signals, signals from other Google products and services, …