Research & Decision Science
Research built into the product
Forecasting, optimization and applied AI for real decisions under real constraints.
- indexed research outputs
- 1,181indexed research outputs
- combined citations
- 53,485combined citations
- Clarivate Highly Cited Papers in forecasting
- Top 1%Clarivate Highly Cited Papers in forecasting
Scientific foundations
From research result to product behavior
Probabilistic forecasts, coherent hierarchies, constraint-aware recommendations and governed human intervention.
Research → product
| Research area | Enterprise problem | RabbitHawk capability |
|---|---|---|
| Hierarchical forecasting | Local forecasts do not aggregate coherently across the enterprise | Reconciled forecasts across every level |
| Probabilistic forecasting | Point forecasts hide risk | Full predictive distributions, intervals and scenario ranges |
| Optimization | Forecasts do not tell teams what to do | Constraint-aware recommendations |
| Agentic AI | Context is trapped in emails and notes | Adaptive elicitation, semantic routing and governed context workflows |
| Human-in-the-loop AI | Automation without trust creates resistance | Belief review, governed publication and intervention lineage |
| Alignment science | Teams optimize against conflicting goals | Goals & Guardrails within Forecasting & Optimization |
Hierarchical forecasting
Local forecasts do not aggregate coherently across the enterprise
Reconciled forecasts across every level
Probabilistic forecasting
Point forecasts hide risk
Full predictive distributions, intervals and scenario ranges
Optimization
Forecasts do not tell teams what to do
Constraint-aware recommendations
Agentic AI
Context is trapped in emails and notes
Adaptive elicitation, semantic routing and governed context workflows
Human-in-the-loop AI
Automation without trust creates resistance
Belief review, governed publication and intervention lineage
Alignment science
Teams optimize against conflicting goals
Goals & Guardrails within Forecasting & Optimization
Research database
Search the indexed record by title, author, venue, category or year. Records include peer-reviewed work, preprints, books, chapters and other scholarly outputs.
1,181 results · page 92 of 99
1994
Computing second derivatives in feed-forward networks: A review
WL Buntine, AS Weigend
IEEE transactions on Neural Networks 5 (3), 480-488, 1994
Research186 citationsThe Aditi deductive database system
J Vaghanl, K Ramamohanarao, DB Kemp, Z Somogyi, PJ Stuckey, ...
The VLDB Journal 3 (2), 245-288, 1994
Research114 citationsBeyond finite domains
J Jaffar, MJ Maher, PJ Stuckey, RHC Yap
International Workshop on Principles and Practice of Constraint Programming …, 1994
Machine Learning113 citationsIncremental analysis of logic programs
MV Hermenegildo, K Marriott, PJ Stuckey
Technical University of Madrid (UPM), 1994
Research67 citationsA guide to the literature on learning graphical models
WL Buntine, P Friedland
Bayesian Methods59 citationsCompiling query constraints
PJ Stuckey, S Sudarshan
Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on …, 1994
Machine Learning41 citationsOn solving equations and disequations
WL Buntine, HJ Bürckert
Saarländische Universitäts-und Landesbibliothek, 1989
Research36 citationsApproximating interaction between linear arithmetic constraints
K Marriott, PJ Stuckey
Proceedings of the 1994 International Symposium on Logic programming, 571-585, 1994
Machine Learning32 citationsNeural networks and related methods for classification-discussion
P Whittle, J Kay, D Hand, L Tarassenko, P Brown, D Titterington, C Taylor, ...
Journal of the Royal Statistical Society Series B-Methodological 56 (3), 1994
Machine Learning14 citationsRepresenting learning with graphical models
WL Buntine, H Lum Jr
Bayesian Methods7 citations- Research1 citations
SPECIAL ISSUE ON EVALUATING AND CHANGING REPRESENTATION-GUEST EDITORIAL
K Morik, F Bergadano, W Buntine
Machine Learning 14 (2), 137-138, 1994
Research1 citations
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