On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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3 results for “chance-corrected”

ADABOOK & MULTIBOOK: Adaptive Boosting with Chance Correctioncs.LG

New algorithms improve boosting by optimizing chance-corrected measures.

problem Improving boosting algorithms to use chance-corrected measures effectively.

method Developed new algorithms (AdaBook and Multibook) that optimize chance-corrected measures.

result AdaBook and Multibook outperform standard Multiboost or AdaBoost in multiclass situations.

boosting AdaBoost Multiboost chance-corrected Kappa

2020-10-11abs ↗pdf ↗

A computationally and cognitively plausible model of supervised and unsupervised learningcs.NE

A new model of learning corrects for chance to improve learning outcomes.

problem The importance of chance-corrected measures in learning.

method Developed two models: Informatron and AdaBook, based on empirical psychological results.

result Chance correction facilitates learning, as shown by computational results.

learning models chance correction empirical psychology Perceptron AdaBoost

2020-10-11abs ↗pdf ↗

Unifying Information-Theoretic and Pair-Counting Clustering Similaritystat.ML

Unified framework for comparing clusterings from information-theoretic and pair-counting perspectives.

problem Divergent evaluations of unsupervised models due to different clustering similarity measures.

method Developed an analytical framework that unifies pair-counting and information-theoretic clustering similarity measures.

result Unified framework clarifies when and why the two regimes diverge and provides a principled basis for selecting and interpreting clustering similarity measures.

2025-11-04abs ↗pdf ↗