search for: reranking

...Manager (by using feature values obtained from each of the Feature sub-class). While ranking, FeatureVector fvals will be computed similarly by FeatureManager, while the score gets assigned later at the time of ranking. > * when configuring the letor system either for training or for > reranking, we construct a FeatureList(*) (which is basically a > vector<Feature>), which we can later ask to generate a > FeatureVector for a given document. (This splits some of the > functionality of FeatureManager, but makes it more clear what each > piece does.) > * if...

...Symbol Layout Tree => Generate Symbol pair tuples => Store in Inverted Index Searching stage: Query(PresentationMathML) => symbol layout tree => Generate symbol pair tuples => Form a query with logical OR operator=> Candidate documents selection using dice coefficient metric => ReRanking the documents using MSS metric. MIaS: Indexing stage: ======preprocessing=============== ============indexing===== Math Formula(PresentationMathML) => Tokenization => Formula(token) Modification => Index each token with proper weight(discussed in paper) Formula modification = Orde...

I can't hardly accept the result of cor function with pairwize.colplete.obs or complete.obs insert print statements in cor function, + if (method != "pearson") { + Rank <- function(u) if (is.matrix(u)) + apply(u, 2, rank, na.last = "keep") + else rank(u, na.last = "keep") + x <- Rank(x) +

...I'd prefer to avoid adding things to the public API that don't get > used by end users. However because LTR is outside the Xapian build > tree, we can't easily give it privileged access to Xapian internals. > Sorry for a delayed response. The way I was thinking of performing reranking with updated weights was to add a class MSetRanker (basically containing a copy of MSet to be re-ranked) to Xapian public API, which would be a friend of MSet::Internal class so that it could access/update the weights and sort MSetItems accordingly, returning an updated MSet. As you pointed out, t...

On Sun, Jul 31, 2016 at 12:44:16AM +0100, Olly Betts wrote: > Would a method which swapped two elements of an MSet provide what you > need? That would provide a more generic way to adjust the ranking of > an MSet which for example could be used to implement a diversification > feature or something like SQL "GROUP BY". Isn't the most common use going to be that the

Arrrrr, I think I've found a bug in the behavior of the stats::cor function when NAs are present, but in case I'm missing something, could you look over this example and let me know what you think: > a = c(1,3,NA,1,2) > b = c(1,2,1,1,4) > cor(a,b,method="spearman", use="complete.obs") [1] 0.8164966 > cor(a,b,method="spearman",

Dear All, I'm guruprasad hegde. I would like to contribute to Xapian through GSOC-2018. Thank you for this wonderful opportunity. My Introduction: I study MSc in Computer science at the University of Saarland. I finished my 4th semester. Some of the courses I took include NLP, Information Retrieval & Data mining, statistical learning. These courses helped me develop the interest in