bandit problemgittins indexambiguity aversionIn multi-armed bandit problems, information acquired from experimentation is valuable because it tells the agent whether to select a particular option again in the f
Adriani, M. (2001). Ambiguity Problem in Multiingual Information Retrieval. In: Peters, C. (eds) Cross-Language Information Retrieval and Evaluation. CLEF 2000. Lecture Notes in Computer Science, vol 2069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44645-1_15 ...
In this paper, we link overconfidence with ambiguity aversion to study the overconfident and ambiguity-averse newsvendor problem, and investigate how does the newsvendor’s overconfidence impact the optimal decision when he only has partial knowledge of the demand distribution. We derive a model that ...
It is the case that all the agreements are related for they all address in one way or another the same protracted conflict; the problem is coding them according to ambiguous definitions that include vague language like “agreements built on previous peace agreements …” belong to the same ...
Applied in the kernel feature space of each observation, {Wˆ Y , Wˆ Z } = argmax{WY ,WZ}tr WYT KTY KZ WZ , (4) s.t. tr WYT KTY KY WY = I tr WZTKTZ KZ WZ = I, V the optima is found through an eigenvalue problem. In [4] it is suggested to apply CCA in the ...
Line 16 has a problem with the use of "%" (modulo). This is used to find the >remainder of division<. The instructions in the comments of your code are telling you to find the >difference< of the total price of all the notebooks you can afford and your balance ie: balance - total...
Many researchers have attempted to address the problems by considering how some mechanisms or institutions, such as communications and collective decision rules, enhance people's cooperation in public bads prevention. However, the problem remains complex, mainly due to the existence of ambiguous ...
Additionally, the inverse problem of concept discovery with text-to-image models was investigated in [27]. Compositional image generation in text-to-image models refers to the ability of these models to generate images that accurately reflect the relationships and arrangements of objects described in...
Since Alchian (1950) and Friedman (1953), a related problem to convergence of expectations aims to understand whether agents who do not predict future events as accurately as others are driven out of the market. A positive answer to this issue leads to the so called market selection hypothesis...
Addressing the Challenge of Grammatical Gender in Machine Translation Prior work simplified the problem by producing only "all masculine" or "all feminine" translations, i.e., enforcing that all entities in the translation are of the same gender. However, requiring that both, "doctor" and "nurse...