Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them.
Berkeley J. DietvorstJoseph P. SimmonsCade MasseyPublished in: Manag. Sci. (2018)
Keyphrases
- learning algorithm
- computational complexity
- times faster
- single pass
- classification algorithm
- synthetic and real world datasets
- computational efficiency
- related algorithms
- theoretical analysis
- computationally efficient
- computational cost
- space complexity
- preprocessing
- provably convergent
- dynamic programming
- algorithms require
- significant improvement
- algorithm has been developed
- optimization algorithm
- synthetic datasets
- memory requirements
- empirical analyses
- recently developed
- cost function
- np hard
- k means
- matching algorithm
- detection algorithm
- convergence rate
- benchmark problems
- experimental evaluation
- worst case
- image processing algorithms
- randomized algorithm
- maximum flow
- multi objective
- iterative algorithms
- synthetic and real datasets
- exhaustive search
- highly efficient
- hybrid algorithm
- simulated annealing
- noisy data
- expectation maximization
- segmentation algorithm
- incremental version
- association rules
- incremental algorithms
- optimal solution
- pruning strategy
- apriori algorithm
- filtering algorithm
- probabilistic model
- optimization problems