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  2. Probably approximately correct learning - Wikipedia

    en.wikipedia.org/wiki/Probably_approximately...

    One concept is the set of all patterns of bits in = {,} that encode a picture of the letter "P". An example concept from the second example is the set of open intervals, { ( a , b ) ∣ 0 ≤ a ≤ π / 2 , π ≤ b ≤ 13 } {\displaystyle \{(a,b)\mid 0\leq a\leq \pi /2,\pi \leq b\leq {\sqrt {13}}\}} , each of which contains only the positive ...

  3. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with one codebase." [2] Keras 3 will be the default Keras version for TensorFlow 2.16 onwards, but Keras 2 can still ...

  4. Physics-informed neural networks - Wikipedia

    en.wikipedia.org/wiki/Physics-informed_neural...

    Physics-informed neural networks for solving Navier–Stokes equations. Physics-informed neural networks (PINNs), [1] also referred to as Theory-Trained Neural Networks (TTNs), [2] are a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning process, and can be described by partial differential equations (PDEs).

  5. Memory dependence prediction - Wikipedia

    en.wikipedia.org/wiki/Memory_dependence_prediction

    Memory dependence prediction for loads and stores is analogous to branch prediction for conditional branch instructions. In branch prediction, the branch predictor predicts which way the branch will resolve before it is known. The processor can then speculatively fetch and execute instructions down one of the paths of the branch.

  6. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    The objective of these models is to assess the possibility that a unit in another sample will display the same pattern. Predictive model solutions can be considered a type of data mining technology. The models can analyze both historical and current data and generate a model in order to predict potential future outcomes. [14]

  7. The 6 best and 6 worst celebrity Christmas albums - AOL

    www.aol.com/6-best-6-worst-celebrity-192259339.html

    Every year, celebrities try to capitalize on the holiday season by releasing festive music. Singers like Mariah Carey, Ariana Grande, and Michael Bublé managed to perfect the cheesy art form ...

  8. This Cardio Machine Gives You The Biggest Burn, According To ...

    www.aol.com/cardio-machine-gives-biggest-burn...

    The best workout is one that you’ll do consistently. While using a treadmill can help you burn a lot of calories, Matheny just recommends making sure to use your arms for proper form.

  9. Relocation (computing) - Wikipedia

    en.wikipedia.org/wiki/Relocation_(computing)

    Relocation is the process of assigning load addresses for position-dependent code and data of a program and adjusting the code and data to reflect the assigned addresses. [1] [2] Prior to the advent of multiprocess systems, and still in many embedded systems, the addresses for objects are absolute starting at a known location, often zero.