LAUSR

Counting, measuring, and the fractional cardinalities puzzle

Sign Up to like & get
recommendations!
0 Published in 2020 at "Linguistics and Philosophy"

DOI: 10.1007/s10988-020-09297-5

Abstract: According to what I call the Traditional View, there is a fundamental semantic distinction between counting and measuring, which is reflected in two fundamentally different sorts of scales: discrete cardinality scales and dense measurement scales.… read more here.

Keywords: cardinality; cardinalities puzzle; fractional cardinalities; counting measuring ... See more keywords

On the Cardinality of a Reduced Unique-Range Set

Sign Up to like & get
recommendations!
1 Published in 2020 at "Ukrainian Mathematical Journal"

DOI: 10.1007/s11253-021-01889-z

Abstract: Two meromorphic functions are said to share a set S ⊂ ℂ∪{∞} ignoring multiplicities (IM) if S has the same preimages under both functions. If any two nonconstant meromorphic functions sharing a set IM are… read more here.

Keywords: cardinality; unique range; reduced unique; meromorphic functions ... See more keywords

COMPATIBLE LOCALLY CONVEX TOPOLOGIES ON NORMED SPACES: CARDINALITY ASPECTS

Sign Up to like & get
recommendations!
1 Published in 2017 at "Bulletin of The Australian Mathematical Society"

DOI: 10.1017/s0004972717000090

Abstract: For a normed infinite-dimensional space, we prove that the family of all locally convex topologies which are compatible with the original norm topology has cardinality greater or equal to c. read more here.

Keywords: locally convex; convex topologies; normed spaces; cardinality ... See more keywords

OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer

Sign Up to like & get
recommendations!
1 Published in 2022 at "PLOS Computational Biology"

DOI: 10.1101/2022.06.29.498064

Abstract: In many real-world applications, such as those based on patient electronic health records, prognostic prediction of patient survival is based on heterogeneous sets of clinical laboratory measurements. To address the trade-off between the predictive accuracy… read more here.

Keywords: prostate cancer; regression; methodology; model ... See more keywords

Robust Maximization of Correlated Submodular Functions Under Cardinality and Matroid Constraints

Sign Up to like & get
recommendations!
0 Published in 2021 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2021.3061656

Abstract: Submodular maximization has applications in networked control, data summarization, and path planning, among other areas. While several efficient algorithms with provable optimality bounds have been developed for maximizing a single submodular function, the more computationally… read more here.

Keywords: maximization correlated; cardinality; robust maximization; maximization ... See more keywords

Online Estimation of Radar Emitter Cardinality via Bayesian Nonparametric Clustering

Sign Up to like & get
recommendations!
0 Published in 2021 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2021.3103582

Abstract: We present an online method to estimate the number of radar emitters from sequential batches of detected pulses. To do this, we employ a recently developed Bayesian nonparametric clustering method that automatically infers the number… read more here.

Keywords: cardinality; radar; nonparametric clustering; number ... See more keywords

Modeling Cardinality in Image Hashing.

Sign Up to like & get
recommendations!
0 Published in 2021 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2021.3089879

Abstract: Cardinality constraint, namely, constraining the number of nonzero outputs of models, has been widely used in structural learning. It can be used for modeling the dependencies between multidimensional labels. In hashing, the final outputs are… read more here.

Keywords: cardinality; modeling cardinality; multidimensional labels; cardinality image ... See more keywords

Remove Minimum (RM): An Error-Tolerant Scheme for Cardinality Estimate by HyperLogLog

Sign Up to like & get
recommendations!
1 Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"

DOI: 10.1109/tdsc.2020.3013746

Abstract: Estimating the number of distinct elements is required in many computing applications. For example, we may want to estimate the number of unique users accessing a service, or the number of different words in a… read more here.

Keywords: cardinality estimate; error; soft errors; estimate hyperloglog ... See more keywords

Estimating Cardinality for Arbitrarily Large Data Stream With Improved Memory Efficiency

Sign Up to like & get
recommendations!
0 Published in 2020 at "IEEE/ACM Transactions on Networking"

DOI: 10.1109/tnet.2020.2970860

Abstract: Cardinality estimation is the task of determining the number of distinct elements (or the cardinality) in a data stream, under a stringent constraint that the input data stream can be scanned by just one single… read more here.

Keywords: estimating cardinality; cardinality; cardinality arbitrarily; data stream ... See more keywords

Fast and Accurate Cardinality Estimation by Self-Morphing Bitmaps

Sign Up to like & get
recommendations!
1 Published in 2022 at "IEEE/ACM Transactions on Networking"

DOI: 10.1109/tnet.2022.3147204

Abstract: Estimating the cardinality of a data stream is a fundamental problem underlying numerous applications such as traffic monitoring in a network or a datacenter and query optimization of Internet-scale P2P data networks. Existing solutions suffer… read more here.

Keywords: morphing bitmap; cardinality estimation; fast accurate; cardinality ... See more keywords

Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks

Sign Up to like & get
recommendations!
0 Published in 2017 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2016.2613865

Abstract: We propose a probabilistic graphical framework for multi-instance learning (MIL) based on Markov networks. This framework can deal with different levels of labeling ambiguity (i.e., the portion of positive instances in a bag) in weakly… read more here.

Keywords: based markov; classification; markov networks; cardinality ... See more keywords