摘要:
A template storage unit stores a plurality of templates. A material data receiving unit receives material data. A combining rule storage unit stores a plurality of combining rules that each indicate a combining condition as a combination of attribute information, such as a type of material data and a version number, and a name of a template to be combined with when the combining condition is met. A combining instruction unit judges whether a combining condition of any of the combining rules is met or not and instructs a combining unit to combine the material data with the template when the combining condition is met. The combining unit combines the material data or a combination of the material data with the specified template according to the combining rule.
摘要:
a System for calculating and emitting analytical data, particularly medically relevant analytical data, has a computer with an evaluation unit for analyzing information entered by the system user and for generating the analytical data, and an output medium provided at the user side. The evaluation unit is configured for interrogating and accepting information that can be entered at the user side such that the information can be entered autonomously by the user based on a number of inquiries which are predefined at the system side, and which can be selected with reference to each response, and which can be made available as an output to user via the output medium. The evaluation unit is configured for controlling an interactive information capture such that, depending on the running information compilation, specific inquiries can be formulated and shown to the user. The evaluation unit is configured for processing information that is random in content and for evaluating the analytical data with a value measure lying between two extreme values. The analytical data that is generated on the basis of the running information compilation can be interrogated by the user at any time and supplied to the user as an output upon such interrogation.
摘要:
A method and apparatus for computing an overall or aggregate decision based on intermediate decisions as to which of a set of alternatives best characterize an object. The alternatives are partitioned into at least two series of preferences corresponding to at least two intermediate rankings. Various embodiments may base the intermediate rankings on: a machine learning technique; a decision tree; a belief network; a neural network; a static model; a program; or an evolutionary training method. Based on the preferences, a weak alternative is selected and removed from the series. The selection of the weak alternative may include identifying which alternatives lose pairwise to the other alternatives, are excluded from the first preferences, are included in the last preferences, or have a lowest average preference ranking. The selecting and removing continue until the remaining alternatives are the aggregate decision. Various embodiments may be applied to classification problems, prediction problems or selection problems.
摘要:
Image features are generated by performing wavelet transformations at sample points on images stored in electronic form. Multiple wavelet transformations at a point are combined to form an image feature vector. A prototypical set of feature vectors, or atoms, is derived from the set of feature vectors to form an “atomic vocabulary.” The prototypical feature vectors are derived using a vector quantization method (e.g., using neural network self-organization techniques) in which a vector quantization network is also generated. The atomic vocabulary is used to define new images. Meaning is established between atoms in the atomic vocabulary. High-dimensional context vectors are assigned to each atom. The context vectors are then trained as a function of the proximity and co-occurrence of each atom to other atoms in the image. After training, the context vectors associated with the atoms that comprise an image are combined to form a summary vector for the image. Images are retrieved using a number of query methods (e.g., images, image portions, vocabulary atoms, index terms). The user's query is converted into a query context vector. A dot product is calculated between the query vector and the summary vectors to locate images having the closest meaning. The invention is also applicable to video or temporally related images, and can also be used in conjunction with other context vector data domains such as text or audio, thereby linking images to such data domains.
摘要:
A method and system for automating a process for valuing a property that produces an estimated value of a subject property, and a reliability assessment of the estimated value. The process is a generative artificial intelligence method that trains a fuzzy-neural network using a subset of cases from a case-base, and produces a run-time system to provide an estimate of the subject property's value. A network-based implementation of fuzzy inference is based on a system that implements a fuzzy system as a five-layer neural network so that the structure of the network can be interpreted in terms of high-level rules. The neural network is trained automatically from data. IF/THEN rules are used to map inputs to outputs by a fuzzy logic inference system. Different models for the same problem can be obtained by changing the inputs to the neuro-fuzzy network, or by varying its architecture.
摘要翻译:用于自动化产生对象属性的估计值的属性的评估过程的方法和系统以及估计值的可靠性评估。 该过程是一种生成人工智能方法,它使用案例基础案例的子集训练模糊神经网络,并产生一个运行时系统来提供主体属性值的估计。 模糊推理的基于网络的实现是基于将模糊系统实现为五层神经网络的系统,以便可以根据高级规则来解释网络的结构。 从数据自动训练神经网络。 IF / THEN规则用于通过模糊逻辑推理系统将输入映射到输出。 通过改变对神经 - 模糊网络的输入,或通过改变其架构,可以获得同样问题的不同模型。
摘要:
A model of consumer behavior in a transaction environment such as customers moving around a bank branch, is generated from an artificial life algorithm to create a number of agents. In each agent, a genetically encoded drive, equivalent for example to hunger, is defined so as to correspond to a transaction need such as the need for cash. Interaction rules, such as navigation rules, are set for interaction between the agents and a first representation of an environment, and the program is run and the agents observed, then compared with real human behavior. The best matched agents are selected and the program run again, the steps being repeated until a required level of comparison with real behavior is reached. The model can then be used with different transaction environments to study customer behavior and to select the best branch layout or the like.
摘要:
A modular artificial intelligence learning entity (a “golem”) which is replicated many times to form a super-entity that shows intelligent behavior transcending that of its individual constituents. Within the group of golems, individual golems may occupy roles, and are role differentiated, in that structurally identical entities perform different functions and exhibit different behavior depending on their personas and the learning they have completed as driven by other entities. The group of golems is hierarchically organized, in the sense that ‘superior’ entities issue policies to ‘subordinate’ entities. In addition to responding to ‘sense’ input from its environment, the golem responds to policy requirements set by other entities, including its superiors, and in turn sets policy requirements for its subordinates. Actions of the golem are measured for successful compliance with that golem's policies by its superior, who directs the golem's learning process. The super-entity thus gains intelligence through the policy reinforcement occurring in each superior-subordinate relationship. This scheme is well adapted to working over a network with logically separated but communicating golems. Its flexibility allows its application both to single complex problems and to repetitively occurring simple problems. Opportunities for its use arise in operating environments, in simulation and gaming, and in research.
摘要:
An apparatus is configured to automatically search for relevant picture data sets from a quantity of n (n≧2) picture data sets electronically stored in a memory device. Picture attributes for each of the n picture data sets is stored electronically in the memory device, and the n picture data sets as well as the stored picture attributes are adapted to be processed electronically by processor device. A training quantity including the electronically stored picture attributes of picture data sets which were selected by a user is utilized in the context of a machine learning process carried out automatically with the aid of the processor device to determine a decision function f. Subsequently, system relevancies of the picture data sets are calculated, based on the decision function f. Selected picture data sets then are provided in the context of the search result to be output in response to the respective system relevance.
摘要:
A reduced control system suitable for control of a nonlinear or unstable plant is described. The reduced control system is configured to use a reduced sensor set for controlling the plant without significant loss of control quality (accuracy) as compared to an optimal control system with an optimum sensor set. The control system calculates the information content provided by the reduced sensor set as compared to the information content provided by the optimum set. The control system also calculates the difference between the entropy production rate of the plant and the entropy production rate of the controller. A genetic optimizer is used to tune a fuzzy neural network in the reduced controller. A fitness function for the genetic optimizer provides optimum control accuracy in the reduced control system by minimizing the difference in entropy production while maximizing the sensor information content.
摘要:
Disclosed is a system for approximating conditional probabilities using an annotated decision tree where predictor values that did not exist in training data for the system are tracked, stored, and referenced to determine if statistical aggregation should be invoked. Further disclosed is a system for storing statistics for deriving a non-leaf probability corresponding to predictor values, and a system for aggregating such statistics to approximate conditional probabilities.