For example, given a sequence of trials, if there is an algorithm in the pool A that makes at most m mistakes then the Weighted Majority Algorithm will make at most c(log |A| + m) mistakes on that sequence, where c is fixed constant....
2012. The weighted majority algorithm does not converge in nearly zero-sum games. In Proceedings of the ICML Workshop on Markets, Mechanisms and Multi-Agent Models.Maria-Florina Balcan, Florin Constantin, and Ruta Mehta. The weighted majority al- gorithm does not converge in nearly zero-sum ...
http://scholar.google.com/scholar?q=%22The+weighted+majority+algorithm%22+1989 http://dl.acm.org/citation.cfm?id=1398514.1398700&preflayout=flat#citedby Quotes Author Keywords error bounds;weighted majority algorithm;prediction algorithms;weighted voting ...
To do so, the sample image area was divided into two parts using the spatial k-means algorithm; one of the clusters corresponding to the tissue sample and the other – to the sample-free matrix-covered surface of the glass slide. The mapping of the clusters to the sample and the ...
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.
5) Tuning Language Models by Proxy - introduces proxy-tuning, a decoding-time algorithm that modifies logits of a target LLM with the logits’ difference between a small base model and a fine-tuned base model; this can enable a larger target base model to perform as well as would a fine...
Sobrie O, Mousseau V, Pirlot M (2019) Learning monotone preferences using a majority rule sorting model. Int Trans Oper Res 26(5):1786–1809 ArticleGoogle Scholar Sokolovska N, Chevaleyre Y, Zucker J-D (2018) A provable algorithm for learning interpretable scoring systems. In: Storkey A...
Cells are sampled for neighbourhood construction using the algorithm proposed previously72. For each neighbourhood we then perform hypothesis testing between conditions to identify differentially abundant cell states whilst controlling the FDR across the graph neighbourhoods. We test for differences in ...
is no reformulation for the Jain’s index in this study, hence, an algorithm to find the optimal trade-off was proposed. The same authors studied a different problem but of similar nature in Guo et al. (2014). This problem considers the throughput maximization in a sub-channel and time ...
We used the Brainstorm implementation of the depth-weighted minimum norm estimation algorithm27 with an unconstrained orientation to find the cortical current density distribution underlying the observed ERFs. The norms of the moments of the two locally tangential dipoles were then computed for each ver...