dense scores
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
dense scores has 6 facts recorded in Dontopedia across 4 references.
Mostly:parameter of(1), rdf:type(1), compared with(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (9)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
hasParameterHas Parameter(6)
- Hybrid Ranking
ex:hybrid-ranking - Hybrid Ranking Function
ex:hybrid-ranking-function - Hybrid Search Function
ex:hybrid-search-function - Log Score Mismatches
ex:log-score-mismatches - Log Score Mismatches Function
ex:log-score-mismatches-function - Hybrid Ranking
hybrid_ranking
appliedToApplied to(1)
- Absolute Difference
ex:absolute-difference
comparedWithCompared With(1)
- Sparse Scores Parameter
ex:sparse-scores-parameter
secondParameterSecond Parameter(1)
- Parameter Order
ex:parameter-order
Other facts (5)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Parameter of | hybrid_ranking | [1] |
| Rdf:type | Function Parameter | [3] |
| Compared With | Sparse Scores Parameter | [3] |
| Type | numpy.ndarray | [4] |
| Parameter Position | 2 | [4] |
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References (4)
ctx:claims/beam/cdca0f91-6019-4a24-b271-06ad0f6f5bf0- full textbeam-chunktext/plain1 KB
doc:beam/cdca0f91-6019-4a24-b271-06ad0f6f5bf0Show excerpt
def hybrid_ranking(sparse_scores, dense_scores, alpha=0.6): # Calculate weighted sum of sparse and dense scores hybrid_scores = alpha * sparse_scores + (1 - alpha) * dense_scores return hybrid_scores # Example usage: sparse_sco…
ctx:claims/beam/0101eba2-9f85-41c1-ac05-d4c55e85d3fc- full textbeam-chunktext/plain1 KB
doc:beam/0101eba2-9f85-41c1-ac05-d4c55e85d3fcShow excerpt
if max_score == min_score: return np.zeros_like(scores) return (scores - min_score) / (max_score - min_score) def hybrid_ranking(sparse_scores, dense_scores, alpha=0.6): # Normalize scores to ensure they are on the same…
ctx:claims/beam/e37a7536-81bf-426c-bec2-f065816eeca3ctx:claims/beam/ea094bd1-364b-4b3a-8196-25cc9a2aa87c
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