Mehta. The weighted majority algorithm does not converge in nearly zero-sum games. In ICML Workshop on Mar- kets, Mechanisms and Multi-Agent Models, 2012.Balcan, M.-F., Constantin, F., and Mehta, R. The weighted majority algorithm does not converge in nearly zero-sum games. In ICML ...
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 ...
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....
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 ...
However, it is difficult to leverage such methods to annotate image-guided SCMS data due to lack of spatial information, which is a crucial statistical consideration in the annotation algorithm. Rather, we leverage the biochemical information that mutually exists in tissue and single cells, which ...
For the sake of completeness we have evaluated the High Capacity algorithm on much smaller test cases; see Appendix A. Decreased delays can also in turn improve revenue by serving more requests in a fixed time window. As a matter of fact, we tried zone based relocation (generating zones base...
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...
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.
Figure 4: Aurora outperforms operational GraphCast across the vast majority of targets. (a) Scorecard versus GraphCast at 0.25-degrees resolution. Aurora matches or outperforms GraphCast on 94% of targets. Aurora obtains the biggest gains (40%) over GraphCast in the ...
To allow the algorithm to work on batch by batch, Step 2 (the mean-shift step) needs to be modified. The algorithm keeps track of how many sequences (k-mer histograms) contributed to each center. In the modified Step 2, the new mean is calculated as the weighted average of the old ...