Probability Distribution
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Probability Distribution has 3 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
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.
constraintConstraint(1)
- Weights Parameter
ex:weights-parameter
convertsToConverts to(1)
- Softmax Normalization
ex:softmax-normalization
requiresRequires(1)
- Classification Tasks
ex:classification-tasks
Other facts (3)
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 |
|---|---|---|
| Has Property | Sums to One | [2] |
| Has Property | Non Negative Elements | [2] |
| Rdf:type | Constraint | [1] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (2)
ctx:claims/beam/3c399a7b-cdb0-4ea1-9eb4-12f84952a5d3- full textbeam-chunktext/plain1 KB
doc:beam/3c399a7b-cdb0-4ea1-9eb4-12f84952a5d3Show excerpt
# Calculate the weighted sum of the queries weighted_sum = np.sum([weight * query for weight, query in zip(weights, queries)], axis=0) return weighted_sum def loss_function(weights, queries, true_values): # Calculate the we…
ctx:claims/beam/d52ddb27-b723-4b42-8bf3-43d5acc93402- full textbeam-chunktext/plain950 B
doc:beam/d52ddb27-b723-4b42-8bf3-43d5acc93402Show excerpt
- Ensures that the vector sums to 1 and all elements are positive. - Often used in classification tasks to convert logits into probabilities. #### Cons: - Can be computationally expensive for large vectors. - May not be suitable for all ty…
See also
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