bakhitovd/led-base-7168-ml
Summarization • Updated • 4
Datasets:
article stringlengths 0 456k | abstract stringlengths 0 65.5k |
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additive models provide an important family of models for semiparametric regression or classification . some reasons for the success of additive models are their increased flexibility when compared to linear or generalized linear models and their increased interpretability when compared to fully nonparametric models .i... | additive models play an important role in semiparametric statistics . this paper gives learning rates for regularized kernel based methods for additive models . these learning rates compare favourably in particular in high dimensions to recent results on optimal learning rates for purely nonparametric regularized kerne... |
the transport properties of nonlinear non - equilibrium dynamical systems are far from well - understood .consider in particular so - called ratchet systems which are asymmetric periodic potentials where an ensemble of particles experience directed transport .the origins of the interest in this lie in considerations ab... | in 84 , 258 ( 2000 ) , mateos conjectured that current reversal in a classical deterministic ratchet is associated with bifurcations from chaotic to periodic regimes . this is based on the comparison of the current and the bifurcation diagram as a function of a given parameter for a periodic asymmetric potential . barb... |
with significant research efforts being directed to the development of neurocomputers based on the functionalities of the brain , a seismic shift is expected in the domain of computing based on the traditional von - neumann model .the , and the ibm are instances of recent flagship neuromorphic projects that aim to d... | synaptic memory is considered to be the main element responsible for learning and cognition in humans . although traditionally non - volatile long - term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications , recent studies in neuroscience have revealed that biological synap... |
the segmentation process as a whole can be thought of as consisting of two tasks : recognition and delineation .recognition is to determine roughly `` where '' the object is and to distinguish it from other object - like entities .although delineation is the final step for defining the spatial extent of the object regi... | this paper investigates , using prior shape models and the concept of ball scale ( b - scale ) , ways of automatically recognizing objects in 3d images without performing elaborate searches or optimization . that is , the goal is to place the model in a single shot close to the right pose ( position , orientation , and... |
biological aggregations such as fish schools , bird flocks , bacterial colonies , and insect swarms have characteristic morphologies governed by the group members interactions with each other and with their environment .the _ endogenous _ interactions , _i.e. _ , those between individuals , often involve organisms reac... | we study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces . beginning with a discrete dynamical model , we derive a variational description of the corresponding continuum population density . equilibrium solutions are extrema of an energy functional , and s... |
inflation generically predicts a primordial spectrum of density perturbations which is almost precisely gaussian . in recent yearsthe small non - gaussian component has emerged as an important observable , and will be measured with good precision by the _planck surveyor _ satellite . in the near future ,as observationa... | we present a novel method for calculating the primordial non - gaussianity produced by super - horizon evolution during inflation . our method evolves the distribution of coarse - grained inflationary field values using a transport equation . we present simple evolution equations for the moments of this distribution , ... |
invariants are a popular concept in object recognition and image retrieval .they aim to provide descriptions that remain constant under certain geometric or radiometric transformations of the scene , thereby reducing the search space .they can be classified into global invariants , typically based either on a set of k... | _ this paper presents invariants under gamma correction and similarity transformations . the invariants are local features based on differentials which are implemented using derivatives of the gaussian . the use of the proposed invariant representation is shown to yield improved correlation results in a template matchi... |
"developments are currently underway to promote the sensitivity of ligo and to improve its prospect (...TRUNCATED) | "matched - filtering for the identification of compact object mergers in gravitational - wave antenn(...TRUNCATED) |
"the origin - destination ( od ) matrix is important in transportation analysis .the matrix contains(...TRUNCATED) | "the estimation of the number of passengers with the identical journey is a common problem for publi(...TRUNCATED) |
"a fair number of astronomers and astronomy students have a physical challenge .it is our responsibi(...TRUNCATED) | "making online resources more accessible to physically challenged library users is a topic deserving(...TRUNCATED) |
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Dataset Card for 'ML Articles Subset of Scientific Papers' Dataset
Dataset Summary
The dataset consists of 32,621 instances from the 'Scientific papers' dataset, a selection of scientific papers and summaries from ArXiv repository. This subset focuses on articles that are semantically, vocabulary-wise, structurally, and meaningfully closest to articles describing machine learning. This subset was created using sentence embeddings and K-means clustering.
Supported Tasks and Leaderboards
The dataset supports tasks related to text summarization. Particularly, the dataset was created for fine-tuning transformer models for summarization. There are no established leaderboards at this moment.
Languages
The text in the dataset is in English.
Dataset Structure
Data Instances
An instance in the dataset includes a scientific paper and its summary, both in English.
Data Fields
article: The full text of the scientific paper.
abstract: The summary of the paper.
Data Splits
The dataset is split into:
-training subset: 30280 articles
-validation subset: 1196 articles
-test subset: 1145 articles
Dataset Creation
Methods
The subset was created using sentence embeddings from a transformer model, SciBERT. The embeddings were clustered into 6 clusters using the K-means clustering algorithm. The cluster closest to articles strongly related to the machine learning area by cosine similarity was chosen to form this dataset.
Source Data
The dataset is a subset of the 'Scientific papers' dataset, which includes scientific papers from the ArXiv repository.
Social Impact
This dataset could help improve the quality of summarization models for machine learning research articles, which in turn can make such content more accessible.
Discussion of Biases
As the dataset focuses on machine learning articles, it may not be representative of scientific papers in general or other specific domains.
Other Known Limitations
As the dataset has been selected based on a specific methodology, it may not include all machine learning articles or may inadvertently include non-machine learning articles.
Dataset Curators
The subset was created as part of a project aimed to build an effective summarization model for Machine Learning articles.
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