Abstract: A classification apparatus includes: a calculation unit that outputs, as a classification result, results of classification by each of a plurality of classifiers with respect to learning data formed of data of at least two classes at a learning time and calculates a combination result value obtained by linear combination, using a combination coefficient, of results of classification by each of the plurality of classifiers with respect to the learning data to output the calculated combination result value as the classification result at a classification time; an extraction unit that extracts a correct solution class and an incorrect solution class for each of the classifiers from the classification result; a difference calculation unit that calculates a difference between the correct solution class and the incorrect solution class for each of the classifiers; a conversion unit that calculates a feature vector using the calculated difference for each of the classifiers; and a combination coefficient setting uni

Abstract: A reminder notification system includes a first terminal and a second terminal which include a reminder notification unit configured to provide a reminder of a predetermined task. The first terminal includes a task registration setting unit configured to register and set the predetermined task as a target task. The first terminal and the second terminal each include a task information share unit configured to share the target task that is registered and set in the task registration setting unit between the first terminal and the second terminal. At least one of the first terminal and the second terminal includes a notification terminal setting unit configured to set any of the first terminal and the second terminal as a notification terminal configured to provide the reminder on the basis of content of the target task when executable conditions of the target task are satisfied.

Abstract: A reminder notification system includes: a position acquisition unit configured to acquire a position of a user; a target position setting unit configured to set a target position; and a reminder notification unit configured to provide a reminder about a proximity area close to the target position set in the target position setting unit when the position of the user is in the proximity area, wherein the target position setting unit sets the target position associated with a predetermined category, and wherein the reminder notification unit provides the reminder when the position of the user arrives at at least one proximity area of a plurality of the target positions belonging to the predetermined category.

Abstract: An information processing system is configured so that a terminal generates state information using information based on each of a first condition and a second condition in condition information, transmits condition information and state information to an information processing device at each reminder determination timing, receives notification information from the information processing device, provides a notification of a reminder if the state information satisfies the first condition or the second condition, and changes the reminder determination timing according to a state of charge of the terminal and the information processing device generates notification information if the acquired state information satisfies first or second condition information.

Abstract: An information processing system is configured so that a terminal generates state information using information based on each of a first condition and a second condition in condition information, transmits condition information and state information to an information processing device, receives notification information from the information processing device, provides a notification of a reminder if the state information satisfies the first condition or the second condition, and controls stopping of an application according to a state of charge of the terminal and the information processing device generates notification information if the acquired state information satisfies first or second condition information.

Abstract: In an information processing system, a terminal includes: a condition information generation unit that uses at least one of a first condition and a second condition to generate condition information; a state information generation unit that generates state information; a transmission unit that transmits the condition and state information at a predetermined time interval; a reception unit that receives notice information; a reminder generation unit that generates a reminder when it is determined that the state information satisfies one of the first and second conditions when receiving the notice information; and a notification unit that notifies a user of the reminder. An information processing apparatus includes: an acquisition unit that acquires the condition and state information; a condition determination unit that generates the notice information when it is determined that the state information satisfies one of the first and second conditions; and an output unit that transmits the notice information.

Abstract: A route guide device includes a current position acquisition unit that acquires a current position, an input unit that inputs a destination, a route search unit that searches for a route from the current position to the destination, a level storage unit that stores a of user's learning level of road information, a route overview generation unit that generates entire route information for the entire route on the basis of the route found through the search and the learning level stored in the level storage unit, and a notification unit that notifies of the entire route information generated by the route overview generation unit.

Abstract: An information processing system is configured so that a terminal generates state information using information based on each of a first condition and a second condition in condition information, transmits condition information and state information to an information processing device at each reminder determination timing, receives notification information from the information processing device, provides a notification of a reminder if the state information satisfies the first condition or the second condition, and changes the reminder determination timing according to a state of charge of the terminal and the information processing device generates notification information if the acquired state information satisfies first or second condition information.

Abstract: An information processing system is configured so that a terminal generates state information using information based on each of a first condition and a second condition in condition information, transmits condition information and state information to an information processing device, receives notification information from the information processing device, provides a notification of a reminder if the state information satisfies the first condition or the second condition, and controls stopping of an application according to a state of charge of the terminal and the information processing device generates notification information if the acquired state information satisfies first or second condition information.

Abstract: A classification apparatus includes: a calculation unit that outputs, as a classification result, results of classification by each of a plurality of classifiers with respect to learning data formed of data of at least two classes at a learning time and calculates a combination result value obtained by linear combination, using a combination coefficient, of results of classification by each of the plurality of classifiers with respect to the learning data to output the calculated combination result value as the classification result at a classification time; an extraction unit that extracts a correct solution class and an incorrect solution class for each of the classifiers from the classification result; a difference calculation unit that calculates a difference between the correct solution class and the incorrect solution class for each of the classifiers; a conversion unit that calculates a feature vector using the calculated difference for each of the classifiers; and a combination coefficient setting uni

Abstract: In an information processing system, a terminal includes: a condition information generation unit that uses at least one of a first condition and a second condition to generate condition information; a state information generation unit that uses information that corresponds to the condition information of information based on the first condition and information based on the second condition to generate state information; a transmission unit that transmits the condition information and transmits the state information at a predetermined time interval; a reception unit that receives notice information; a reminder generation unit that generates a reminder when it is determined that the state information satisfies one of the first condition and the second condition when receiving the notice information; and a notification unit that notifies a user of the reminder, and an information processing apparatus includes: an acquisition unit that acquires the condition information and the state information; a condition det

Abstract: A reminder notification system includes: a position acquisition unit configured to acquire a position of a user; a target position setting unit configured to set a target position; and a reminder notification unit configured to provide a reminder about a proximity area close to the target position set in the target position setting unit when the position of the user is in the proximity area, wherein the target position setting unit sets the target position associated with a predetermined category, and wherein the reminder notification unit provides the reminder when the position of the user arrives at at least one proximity area of a plurality of the target positions belonging to the predetermined category.

Abstract: A reminder notification system includes a first terminal and a second terminal which include a reminder notification unit configured to provide a reminder of a predetermined task. The first terminal includes a task registration setting unit configured to register and set the predetermined task as a target task. The first terminal and the second terminal each include a task information share unit configured to share the target task that is registered and set in the task registration setting unit between the first terminal and the second terminal. At least one of the first terminal and the second terminal includes a notification terminal setting unit configured to set any of the first terminal and the second terminal as a notification terminal configured to provide the reminder on the basis of content of the target task when executable conditions of the target task are satisfied.

Abstract: A route guide device includes a current position acquisition unit that acquires a current position, an input unit that inputs a destination, a route search unit that searches for a route from the current position to the destination, a level storage unit that stores a of user's learning level of road information, a route overview generation unit that generates entire route information for the entire route on the basis of the route found through the search and the learning level stored in the level storage unit, and a notification unit that notifies of the entire route information generated by the route overview generation unit.

Abstract: A speech recognition apparatus includes a speech input unit that receives input speech, a phoneme recognition unit that recognizes phonemes of the input speech and generates a first phoneme sequence representing corrected speech, a matching unit that matches the first phoneme sequence with a second phoneme sequence representing original speech, and a phoneme correcting unit that corrects phonemes of the second phoneme sequence based on the matching result.

Abstract: The invention provides a dialogue-based learning apparatus through dialogue with users comprising: a speech input unit (10) for inputting speeches; a speech recognition unit (20) for recognizing the input speech; and a behavior and dialogue controller (30) for controlling behaviors and dialogues according to speech recognition results, wherein the behavior and dialogue controller (30) has a topic recognition expert (34) to memorise contents of utterances and to retrieve the topic that best matches the speech recognition results, and a mode switching expert (35) to control mode switching in accordance with a user utterance, wherein the mode switching expert switches modes in accordance with a user utterance, wherein the topic recognition expert registers a plurality words in the utterance as topics in first mode, performs searches from among the registered topics, and selects the maximum likelihood topic in second mode.

Abstract: A referring expression processor which uses a probabilistic model and in which referring expressions including descriptive, anaphoric and deictic expressions are understood and generated in the course of dialogue is provided. The referring expression processor according to the present invention includes: a referring expression processing section which performs at least one of understanding and generation of referring expressions using a probabilistic model constructed with a referring expression Bayesian network, each referring expression Bayesian network representing relationships between a reference domain (D) which is a set of possible referents, a referent (X) in the reference domain, a concept (C) concerning the referent and a word (W) which represents the concept; and a memory which stores data necessary for constructing the referring expression Bayesian network.

Abstract: A language processor according to the present invention includes a probability calculating section (103) having a probabilistic model by which a probability that a set of partial referring expression pairs represents an object, each pair consisting of an attribute value expression and a part expression modified by the attribute value expression, the set of referring expression pairs including a pair concerning the whole object, is represented by a product of probabilities each of which is a probability that each partial referring expression pair represents the object.

Abstract: A lexical acquisition apparatus includes: a phoneme recognition section 2 for preparing a phoneme sequence candidate from an inputted speech; a word matching section 3 for preparing a plurality of word sequences based on the phoneme sequence candidate; a discrimination section 4 for selecting, from among a plurality of word sequences, a word sequence having a high likelihood in a recognition result; an acquisition section 5 for acquiring a new word based on the word sequence selected by the discrimination section 4; a teaching word list 4A used to teach a name; and a probability model 4B of the teaching word and an unknown word, wherein the discrimination section 4 calculates, for each word sequence, a first evaluation value showing how much words in the word sequence correspond to teaching words in the list 4A and a second evaluation value showing a probability at which the words in the word sequence are adjacent to one another and selects a word sequence for which a sum of the first evaluation value and the

Abstract: A speech understanding apparatus includes a speech recognition unit which performs speech recognition of an utterance using multiple language models, and outputs multiple speech recognition results obtained by the speech recognition, a language understanding unit which uses multiple language understanding models to perform language understanding for each of the multiple speech recognition results output from the speech recognition unit, and outputs multiple speech understanding results obtained from the language understanding, and an integrating unit which calculates, based on values representing features of the speech understanding results, utterance batch confidences that numerically express accuracy of the speech understanding results for each of the multiple speech understanding results output from the language understanding unit, and selects one of the speech understanding results with a highest utterance batch confidence among the calculated utterance batch confidences.